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: Neural network based systems, methods, and instrumentalities may be used to remove motion artifacts from magnetic resonance (MR) images. Such a neural network based system may be trained to perform the motion artifact removal tasks without reference (e.g., without using paired motion-contaminated and motion-free MR images). Various training techniques are described herein including one that feeds the neural network with pairs of MR images with different levels of motion contamination and forces the neural network learn to correct the motion contamination by transforming a first image of a contaminated pair into a second image of the contaminated pair. Other neural network training techniques are also described with an aim to reduce the reliance on training data that is difficult to obtain.

Abstract: A method of forming graphene layers is disclosed. The method includes precleaning the substrate with a plasma formed from an argon- and hydrogen-containing gas, followed by forming a graphene layer by exposing the substrate to a microwave plasma to form a graphene layer on the substrate. The microwave plasma comprises hydrocarbon and hydrogen radicals. The substrate is then cooled. A capping layer may also be formed.

Abstract: A drain programmed read-only memory includes a diffusion region that spans a width of a bitcell and forms a drain of a first transistor and a second transistor. A bit line lead in a metal layer adjacent the diffusion region extends across the width of the bitcell. A first via extends from an upper half of the bit line lead and couples to a drain of the first transistor. Similarly, a second via extends from a lower half of the bit line and couples to a drain of the second transistor.

Abstract: A method for non-invasive quantification of organ fat using a magnetic resonance approach includes: constructing a detection system; connecting a detection area; detection system startup; acquiring data; analyzing data; and performing horizontal data analysis. An external computer, a radio frequency (RF) subsystem, and a portable magnet module are used to construct a system for non-invasive quantification of organ fat based on low-field nuclear magnetic resonance (LF-NMR,), which causes no damage, and achieves accurate and non-invasive quantification of organ fat. Specific pulse sequences are used to excite nuclear spin in a target region to generate LF-NMR, so as to achieve “one-click” detection, which is used for fast screening of related diseases such as non-alcoholic fatty liver disease (NAFLD). The system has accurate quantification, and is easy to operate without constraints of operator qualifications.

Abstract: Motion contaminated magnetic resonance (MR) images for training an artificial neural network to remove motion artifacts from the MR images are difficult to obtain. Described herein are systems, methods, and instrumentalities for injecting motion artifacts into clean MR images and using the artificially contaminated images for machine learning and neural network training. The motion contaminated MR images may be created based on clean source MR images that are associated with multiple physiological cycles of a scanned object, and by deriving MR data segments for the multiple physiological cycles based on the source MR images. The MR data segments thus derived may be combined to obtain a simulated MR data set, from which one or more target MR images may be generated to exhibit a motion artifact. The motion artifact may be created by manipulating the source MR images and/or controlling the manner in which the MR data set or the target MR images are generated.

Abstract: A bullseyes plot may be generated based on cardiac magnetic resonance imaging (CMRI) to facilitate the diagnosis and treatment of heart diseases. Described herein are systems, methods, and instrumentalities associated with bullseyes plot generation. A plurality of myocardial segments may be obtained for constructing the bullseye plot based on landmark points detected in short-axis and long-axis magnetic resonance (MR) slices of the heart and by arranging the short-axis MR slices sequentially in accordance with the order in which the slices are generated during the CMRI. The sequential order of the short-axis MR slices may be determined utilizing projected locations of the short-axis MR slices on a long-axis MR slice and respective distances of the projected locations to a landmark point of the long-axis MR slice. The myocardium and/or landmark points may be identified in the short-axis and/or long-axis MR slices using artificial neural networks.

Abstract: A pharmaceutical composition comprising a small molecule EGFR inhibitor and a preparation method therefor, the composition comprising N-(5-((4-(1-cyclopropyl-1H-indol-3-yl)pyrimidin-2-yl)amino)-2-((2-(dimethylamino)ethyl)(methyl)amino)-4-methoxyphenyl)acrylamide, an isomer, solvate, hydrate, or pharmaceutically acceptable salt thereof, or a combination thereof that acts as an active ingredient, and at least one pharmaceutically acceptable excipient.

Abstract: Immunogenic peptide fragments of metalloprotease ADAMTS-7 including a first short peptide, which is any one of the followings: a short peptide having the amino acid sequence shown in SEQ ID NO: 1 in the sequence listing; a short peptide having the amino acid sequence shown in SEQ ID NO: 2 in the sequence listing; a short peptide having the amino acid sequence shown in SEQ ID NO: 3 in the sequence listing; a short peptide having the amino acid sequence shown in SEQ ID NO: 4 in the sequence listing. The description includes uses of conjugates containing the above short peptides and vaccines containing the conjugates. The vaccines containing the short peptides can remarkably inhibit the intimal neogenesis in the vascular restenosis mouse models and the occurrence of atherosclerosis in high-fat-fed mice, and can be used for the prevention or treatment of atherosclerosis and/or vascular restenosis.

Abstract: An unsupervised machine learning method with self-supervision losses improves a slice-wise spatial resolution of 3D medical images with thick slices, and does not require high resolution images as the ground truth for training. The method utilizes information from high-resolution dimensions to increase a resolution of another desired dimension.

Abstract: A secondary battery includes a positive electrode, a negative electrode, and an electrolyte. The positive electrode includes a positive-electrode active substance layer, the positive-electrode active substance layer contains a pre-lithiation agent, and a molecular formula of the pre-lithiation agent is LixNiaCu1?a?bMbO2, where 1?x?2, 0<a<1, and 0?b <0.1, and M is selected from one or more of Zn, Sn, Mg, Fe, and Mn. The negative electrode includes a negative-electrode active substance layer including graphite and silicon-containing material. The electrolyte contains fluoroethylene carbonate (FEC). A weight percentage of the pre-lithiation agent in the positive-electrode active substance layer, a weight percentage of silicon content in the negative-electrode active substance layer, and a weight percentage of FEC in the electrolyte satisfy 0.2×WSi?WFEC?7.5%-0.6×WL.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with image segmentation that may be implementing using an encoder neural network and a decoder neural network. The encoder network may be configured to receive a medical image comprising a visual representation of an anatomical structure and generate a latent representation of the medical image indicating a plurality of features of the medical image. The latent representation may be used by the decoder network to generate a mask for segmenting the anatomical structure from the medical image. The decoder network may be pre-trained to learn a shape prior associated with the anatomical structure and once trained, the decoder network may be used to constrain an output of the encoder network during training of the encoder network.

Abstract: A system and method for cardiac function and myocardial strain analysis include techniques and structure for classifying a set of cardiac images according to their views, detecting a heart range and valid short-axis slices in the set of cardiac images, determining heart segment locations, segmenting heart anatomies for each time frame and each slice, calculating volume related parameters, determining key physiological time points, calculating myocardium transmural thickness and deriving a cardiac function measure from the myocardium transmural thickness at the key physiological time points, estimating a dense motion field from the key physiological time points as applied to the set of cardiac images, calculating myocardial strain along different myocardium directions from the dense motion field, and providing the cardiac function measure and myocardial strain calculation to a user through a user interface.

Abstract: A touch screen includes a touch panel including a plurality of touch blocks, and a knob, being touch-sensitive and rotatable, disposed on top of the touch panel. An area of the touch panel not covered with the knob is defined as a first area, an area of the touch panel covered with the knob is defined as a second area, and touch blocks belonging to both the first area and the second area are defined as overlapped blocks. Sense signals associated with the overlapped blocks are de-emphasized.

Abstract: An apparatus for magnetic resonance imaging (MRI) image reconstruction is provided. The apparatus accesses a training set of MRI data for training. The training set can include paired fully sampled data or unpaired fully sampled data. Undersampled MRI data is optimized in an MRI data optimization module to generate reconstructed MRI data. The apparatus builds a discriminative model using the training set and the reconstructed MRI data. During inference, the parameters of the discriminator model are fixed and the discriminator model is used to classify an output of the MRI data optimization model as the reconstructed MRI image.

Abstract: A quasi-real-time data collection system for a competitive power market includes a distributed data collection unit, a centralized data collection unit, and a main collection station, where the distributed data collection unit is connected to an intelligent watt-hour meter by using an internal downlink communication module of the distributed data collection unit, and configures data item collection parameters and task execution parameters by using an internal collection task and scheme configuration module of the distributed data collection unit; the centralized data collection unit is connected to the main collection station by using an internal file conversion and uplink communication module of the centralized data collection unit; and the centralized data collection unit is connected to multiple distributed data collection units by using a local high speed power line carrier communication (HPLC) network.

Abstract: In an embodiment, a computer-implemented method comprises deploying a dual-active database on a first active database site and a second active database site. The first active database site comprises a first group of disks including a first sub-group of disks and a second sub-group of disks respectively corresponding to a third sub-group of disks and a fourth sub-group of disks included in a second group of disks in the second active database site. The method further comprises storing a first set of database logs on the first sub-group of disks while a second set of database logs is being written on the second sub-group of disks. Contents of the second set of database logs are consistent with contents of the first set of database logs and function as a duplication of the first set of database logs.

Abstract: Various implementations provide systems and methods for writing data to memory bit cells. An example implementation includes a write circuit that couples both a bitline and a complementary bitline to power (VDD) by positive-channel metal oxide semiconductor (PMOS) transistors. By using PMOS transistors instead of NMOS transistors at the applicable nodes, such implementations may avoid a voltage drop between VDD and the bitlines, thereby allowing the bitlines to reach a substantially full VDD voltage level when appropriate. Additionally, various implementations avoid dynamic nodes that share charge across NMOS transistors, thereby allowing a given bitline to reach a substantially full VDD voltage level when appropriate. Accordingly, some implementations may experience higher levels of writability and static noise margin than other implementations.

Abstract: The present invention discloses a preparation method of a catalyst with white carbon black modified by Zr—Nd—O and use thereof, and belongs to the field of catalyst technologies. In the present invention, an organic solvent evaporation induced self-assembly method is used to load Zr—Nd—O onto white carbon black to obtain a mesoporous Zr—Nd—O/white carbon black catalyst. The mesoporous Zr—Nd—O/white carbon black catalyst in the present invention has high catalytic activity, contains uniformly distributed mesopores with a relatively large average aperture, and has a simple preparation process, etc.

Abstract: When a force sensor on a robot arm detects that the force of contact between an end of a calibration device and a calibration plate reaches a threshold, the robot arm stops, and the end of the calibration device performs marking at the contact position between the end of the calibration device and the calibration plate. The robot arm moves upward and stops at a position where the end of the robot arm is at a predetermined height. At this position, a camera at the end of the robot arm photographs marks on the calibration plate, records the coordinates of the marks in the camera coordinate system, and records the coordinates of the end of the calibration device in the robot coordinate system. A calibration transformation matrix is calculated according to the recorded coordinates of at least three marks.