Abstract: A computer-implemented method dynamically switches access plans for a query during concurrent query execution. The method includes receiving a first query configured to be processed by a database system. The method also includes generating, for the first query, an access plan for each of identified resource sets. The method includes determining a first set of available resources that represent an available capacity for the database system. The method further includes selecting a first resource set of the one or more resource sets, where the selecting is based on the first set of available resources being closest to the first resource set. The method also includes selecting, based on the first set of available resources, a first access plan of the one or more access plans. The method includes executing the first query and returning results of the first query to a source of the first query.

Abstract: The invention provides a method and system for decoupling electric field of electrochemical model based on a parallel targeting method. The method includes selecting a negative or positive electrode region as a calculation region; selecting a solid or liquid phase current as an observed quantity, and a solid and liquid phase potential as a costate variable; inserting nodes between two endpoints of the calculation region, and determining a target value of the observed quantity of each node; constructing N calculation units; respectively performing a target shooting on the N calculation units; and determining whether a distance between the target shooting value of the observed quantity of the end point of each calculation unit and the target value of the observed quantity of the node corresponding to the end point of the calculation unit is within a preset range.

Abstract: Described herein are MAT2A inhibitors and pharmaceutical compositions comprising said inhibitors. The subject compounds and compositions are useful for the treatment of a disease or disorder associated with MAT2A.

Abstract: The invention discloses a method for step parameter identification based on an electrochemical model, including: identifying a first type of electrochemical parameters through a reduced-order electrochemical model by utilizing different preset charge-discharge rate data; determining a first type of target electrochemical parameters identified by the reduced-order electrochemical model through extrapolation; the first type of target electrochemical parameters including an approximate value of the first type of electrochemical parameters or the first type of electrochemical parameters at a specific rate; identifying the first type of electrochemical parameters, which includes solid-phase lithium concentration and exchange current, through a full-order electrochemical model by taking the first type of target electrochemical parameters as actual values of the first type of electrochemical parameters of the full-order electrochemical model; and identifying a second type of electrochemical parameters, which include

Abstract: Disclosed is a selective field-assisted machining system. The system includes a micron-level high-speed identification module, an in-situ laser assisted module, an ultrasonic vibration module, an energy field loading high-speed control module, and a diamond tool. The micron-level high-speed identification module is used to quickly identify the type of a material substrate of a workpiece to be processed, process the identification information into a corresponding control signal, and send same to the energy field loading high-speed control module to implement selective processing of the workpiece to be processed, i.e. to process brittle particles using in-situ laser assisted machining and to process a soft metal substrate using ultrasonic vibration processing. In the present invention, ultra-precision cutting of brittle particles and a soft metal substrate can be completed at the same time in a single processing process.

Abstract: In Multiplex MRI image reconstruction, a hardware processor acquires sub-sampled Multiplex MRI data and reconstructs parametric images from the sub-sampled Multiplex MRI data. A machine learning model or deep learning model uses the subsampled Multiplex MRI data as the input and parametric maps calculated from the fully sampled data, or reconstructed fully sample data, as the ground truth. The model learns to reconstruct the parametric maps directly from the subsampled Multiplex MRI data.

Abstract: Disclosed herein are systems, methods, and instrumentalities associated with reconstructing magnetic resonance (MR) images based on under-sampled MR data. The MR data include 2D or 3D information, and may encompass multiple contrasts and multiple coils. The MR images are reconstructed using deep learning (DL) methods, which may accelerate the scan and/or image generation process. Challenges imposed by the large quantity of the MR data and hardware limitations are overcome by separately reconstructing MR images based on respective subsets of contrasts, coils, and/or readout segments, and then combining the reconstructed MR images to obtain desired multi-contrast results.

Abstract: Described herein are systems, methods, and instrumentalities associated with landmark detection. The detection may be accomplished by determining a graph representation of a plurality of hypothetical landmarks detected in one or more medical images. The graph representation may include nodes that represent the hypothetical landmarks and edges that represent the relationships between paired hypothetical landmarks. The graph representation may be processed using a graph neural network such a message passing graph neural network, by which the landmark detection problem may be converted and solved as a graph node labeling problem.

Abstract: A neural network system implements a model for generating an output image based on a received input image. The model is learned through a training process during which parameters associated with the model are adjusted so as to maximize a difference between a first image predicted using first parameter values of the model and a second image predicted using second parameter values of the model, and to minimize a difference between the second image and a ground truth image. During a first iteration of the training process the first image is predicted and during a second iteration the second image is predicted. The first parameter values are obtained during the first iteration by minimizing a difference between the first image and the ground truth image, and the second parameter values are obtained during the second iteration by maximizing the difference between the first image and the second image.

Abstract: A transient electromagnetic device with variable shape and turns includes squares, a transmitting coil carrying frame, a transmitting coil, a turns-variable device, a current generator and a working power supply. The transmitting coil carrying frame is arranged inside the transmitting coil; the transmitting coil carrying frame is configured as a carrier of the transmitting coil, and configured for adjusting a side length of the transmitting coil and a shape of the transmitting coil; the square is configured for clamping and connecting the transmitting coil and the transmitting coil carrying frame to fix the transmitting coil to the transmitting coil carrying frame. The current generator is configured for generating transient current; the turns-variable device is configured for changing the turns of the transmitting coil; and the transmitting coil is configured for transmitting the transient current to a target area to be measured.

Abstract: Provided are an epitope peptide (or a variant thereof) that can be used for preventing or treating an EBV infection, a recombinant protein containing the epitope peptide (or variant thereof) and a carrier protein, and the use of the epitope peptide (or variant thereof) and the recombinant protein. Further provided are an antibody against the epitope peptide, and the use thereof in the detection, prevention and/or treatment of an EBV infection and/or diseases caused by the infection.

Abstract: A computer-implemented method is provided for model training performed by a processing system. The method comprises determining a set of first weights based on a first matrix associated with a source model, determining a set of second weights based on the set of first weights, forming a second matrix associated with a target model based on the set of first weights and the set of second weights, initializing the target model based on the second matrix, and training the target model.

Abstract: Various solutions for enhancements on integer cycle report for carrier phase positioning are described. An apparatus may receive a positioning reference signal (PRS) from a first network node of a wireless network. The apparatus may measure a carrier phase associated with a delay path and a transmission frequency point of the PRS. Then, the apparatus may report the carrier phase to a second network node of the wireless network.

Abstract: Methods and apparatuses of boundary refinement for instance segmentation. The methods for instance segmentation include receiving an image and an instance mask identifying an instance in the image; extracting a set of image patches from the image based on a boundary of the instance mask; generating a refined mask patch for each of the set of image patches based on at least a part of the instance mask corresponding to the each of the set of image patches; and refining the boundary of the instance mask based on the refined mask patch for each of the set of image patches.

Abstract: A display panel includes an active area and a peripheral area surrounding the active area, and the display panel further includes: a substrate and a plurality of light emitting devices arranged on the substrate in array, wherein the plurality of light emitting devices are located at least in the active area; a conducting layer comprising a cathode ring and cathodes of the plurality of light emitting devices, wherein the cathode ring is located in the peripheral area, and the cathode ring surrounds the active area; and a lens layer located at a side of the light emitting devices away from the substrate, wherein the lens layer extends from the active area to the peripheral area; wherein an orthographic projection of the lens layer on the substrate is located within an area delineated by an outer contour of an orthographic projection of the cathode ring on the substrate.

Abstract: Disclosed is a method and a system for reviewing annotated medical images. The method includes receiving a dataset of medical images comprising one or more pre-existing annotations therein. The method also includes displaying, via a first graphical user interface, at a given instance, one of the medical images, and detecting a first input comprising a modification of at least one pre-existing annotation in the one of the medical images being displayed to define at least one modified annotation therefor and a reference for the at least one modified annotation to be associated therewith. The method also includes displaying, via a second graphical user interface, the one of the medical images having the at least one modified annotation and the associated reference for the at least one modified annotation, and detecting a second input comprising one of verification, correction, or rejection of the at least one modified annotation.

Abstract: A use of an intervertebral disc fibrosis-inducing substance in preparation of medication, where the medication is used for the treatment of degenerative spinal diseases. The inventors of the present disclosure make use of the pro-fibrotic effect of the intervertebral disc fibrosis-inducing substance and the auxiliary effect of the fibroblast to achieve further treatment of intervertebral disc degeneration. The simultaneous administration of the above two drugs can reasonably control the degeneration and achieve the purpose of stepped treatment, thereby having clinical transformation value. In addition, the therapy combining the intervertebral disc fibrosis-inducing substance with the cell in the present disclosure allows the treatment regimen more personalized.

Abstract: RACH occasion repetition and PRACH format selection in an NTN are disclosed. The base station may determine, based on at least one beam, a first PRACH configuration for at least one first UE and a second PRACH configuration for at least one second UE. The base station may transmit, to at least one of the at least one first UE or the at least one second UE, an indication of the first PRACH configuration and the second PRACH configuration. The UE, based on whether it is a first UE or a second UE, may select, based on the received indication, the first PRACH configuration or the second PRACH configuration for at least one beam. The UE may initiate, via the at least one beam, a RACH procedure for the selected first PRACH configuration or the selected second PRACH configuration.

Abstract: Provided are fusion proteins that include an apolipoprotein B mRNA editing enzyme catalytic subunit 3A (APOBEC3A) and a clustered regularly interspaced short palindromic repeats (CRISPR)-associated (Cas) protein, optionally further with uracil glycosylase inhibitor (UGI). Such a fusion protein is able to conduct base editing in DNA by deaminating cytosine to uracil, even when the cytosine is in a GpC context or is methylated.

Abstract: The present application relates to a current collector, an electrode plate, a battery cell, a battery, and an electric device. The current collector includes a stainless steel current-collecting portion for collecting a current, where the stainless steel current-collecting portion includes a blank area and a coating area that are arranged adjacent to each other in a preset direction, the coating area is configured to be coated with an active material, and the blank area has a hardness less than that of the coating area.