Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining magnetic resonance data over a main field-of-view (FOV) and resulting from providing a magnetic resonance fingerprinting pulse sequence to a sample. The pulse sequence includes gradient waveforms and radio frequency (RF) pulses that have pulse sequence parameters specifically tailored for scanning, not the entire main FOV but rather a reduced portion of that main FOV. The methods and systems further include comparing the magnetic resonance data from the sample to a fingerprint dictionary of signal profiles that specifically correspond to the reduced portion of the main FOV and generating tissue property maps that correspond only to that reduced portion.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) that provides tissue characterization through simultaneous quantification of water tissue properties and proton density fat fraction (PDFF), by using water-only and fat-only images from MRF. MRF is performed using rosette trajectories scanning k-space to effectively isolate water tissue and fat tissue, by separating these rosette trajectories into individual segments that are then analyzed to enable signals from fat tissue to be distinguished from water.

Abstract: The present disclosure is directed to combining the strengths of different methods of analyzing collected sensor data to updating a driving pattern of an automated vehicle (AV). This may include combining data from sets of data that track movement of objects over time with instantaneously received sensor data based on a series of steps that include accessing data that tracks the motion of objects in the field of view of a sensing apparatus, receiving current sensor data that includes a component of current or instantaneous object motion, and identifying whether controls of AV should be maintained or changed. When controls of the AV are maintained, an AV may be controlled to stay in driving in a same lane of a roadway at a same velocity. When controls of an AV are changed, changes may include applying, increasing a velocity, or altering the course of the AV.

Abstract: The disclosure discloses a bionic digestive tract as well as a preparation method and application thereof, belonging to the field of bionic technologies and the field of biological technologies. The bionic digestive tract of the disclosure is prepared by mixing a base material (one or more of silica gel, latex and hydrogel) and auxiliary materials (silicone oil and a curing agent) in a certain mass ratio (the mass ratio of the base material to the silicone oil to the curing agent is 100:(0.5 to 10):(0.5 to 3.5)). The simulation performance of the bionic digestive tract is excellent, has strong consistency with a true human digestive tract in terms of performance, structure and function, can simulate the true states of food, drugs and microorganisms in a digestive system, and has great application prospects in the research process of food and drugs.

Abstract: The present invention discloses a visual bionic digestive system for a human gastrointestinal tract model, and belongs to the field of bionic digestive systems.

Abstract: The present invention discloses a rechargeable chromium bromine flow battery, in which anodic chromic ions Cr2+ are oxidized to Cr3+ while cathodic bromine is reduced to bromide ions Br? during discharge. The process is reversed in charging. The chromium bromine flow battery comprises a carbon anode, a carbon cathode, a proton exchange membrane, and aqueous acidic electrolytes, whereby electricity energy can be stored with high energy density and high power density for large-scale energy storage. Hydrobromic acid of high concentration greater than 4M are used in the electrolytes without any organic complexing agents in the catholyte.

Abstract: The present disclosure relates to a scanning method for an electronic control unit in a vehicle and a vehicle diagnostic device. The vehicle diagnostic device is communicatively connected to at least two vehicle buses in the vehicle, each of the vehicle buses is connected to at least one electronic control unit in the vehicle. The scanning method determines a scan list corresponding to each of the vehicle buses. The scan list includes a to-be-scanned electronic control unit. The vehicle diagnostic device transmitting a scan signal on the vehicle buses in parallel according to the scan list corresponding to each of the vehicle buses, to determine whether the to-be-scanned electronic control unit in the scan list exists in the vehicle. The parallel scanning in this way can effectively improve the efficiency of automatic scanning and significantly shorten a time required to complete the automatic scanning, and improves user experience.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) that provides tissue characterization through simultaneous quantification of water tissue properties and proton density fat fraction (PDFF), by using water-only and fat-only images from MRF. MRF is performed using rosette trajectories scanning k-space to effectively isolate water tissue and fat tissue, by separating these rosette trajectories into individual segments that are then analyzed to enable signals from fat tissue to be distinguished from water.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining magnetic resonance data over a main field-of-view (FOV) and resulting from providing a magnetic resonance fingerprinting pulse sequence to a sample. The pulse sequence includes gradient waveforms and radio frequency (RF) pulses that have pulse sequence parameters specifically tailored for scanning, not the entire main FOV but rather a reduced portion of that main FOV. The methods and systems further include comparing the magnetic resonance data from the sample to a fingerprint dictionary of signal profiles that specifically correspond to the reduced portion of the main FOV and generating tissue property maps that correspond only to that reduced portion.

Abstract: An electrical device having a terminal region for connection with a printed circuit board. The terminal region has a stranded wire and an enclosure piece surrounding the stranded wire. The enclosure piece is connected with the stranded wire, for example, by thermal diffusion bonding.

Abstract: Disclosed herein are neural networks for generating target classifications for an object from a set of input sequences. Each input sequence includes a respective input at each of multiple time steps, and each input sequence corresponds to a different sensing subsystem of multiple sensing subsystems. For each time step in the multiple time steps and for each input sequence in the set of input sequences, a respective feature representation is generated for the input sequence by processing the respective input from the input sequence at the time step using a respective encoder recurrent neural network (RNN) subsystem for the sensing subsystem that corresponds to the input sequence. For each time step in at least a subset of the multiple time steps, the respective feature representations are processed using a classification neural network subsystem to select a respective target classification for the object at the time step.

Abstract: Systems and methods are provided for the accurate reproduction during simulation of distributed systems, such as vehicle-based processing systems. In a simulation, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes.

Abstract: The disclosure discloses a bionic digestive tract as well as a preparation method and application thereof, belonging to the field of bionic technologies and the field of biological technologies. The bionic digestive tract of the disclosure is prepared by mixing a base material (one or more of silica gel, latex and hydrogel) and auxiliary materials (silicone oil and a curing agent) in a certain mass ratio (the mass ratio of the base material to the silicone oil to the curing agent is 100:(0.5 to 10):(0.5 to 3.5)). The simulation performance of the bionic digestive tract is excellent, has strong consistency with a true human digestive tract in terms of performance, structure and function, can simulate the true states of food, drugs and microorganisms in a digestive system, and has great application prospects in the research process of food and drugs.

Abstract: A method for denoising magnetic resonance images and data is disclosed herein. An example method includes receiving a series of MRF images from a scanning device; identifying one or more subsets of voxels for the series of MRF images; generating one or more sets of eigenvectors, each set of the one or more sets of eigenvectors corresponding to one of the one or more subsets of voxels, and each eigenvector of the one or more sets of eigenvectors having a corresponding eigenvalue; applying a noise distribution model to each of the eigenvalues; identifying a subset of the eigenvalues as corresponding to noise based on the noise distribution model; and reconstructing the series of MRF images without the subset of eigenvalues identified as corresponding to noise.

Abstract: The disclosure discloses a bionic digestive tract as well as a preparation method and application thereof, belonging to the field of bionic technologies and the field of biological technologies. The bionic digestive tract of the disclosure is prepared by mixing a base material (one or more of silica gel, latex and hydrogel) and auxiliary materials (silicone oil and a curing agent) in a certain mass ratio (the mass ratio of the base material to the silicone oil to the curing agent is 100:(0.5 to 10):(0.5 to 3.5)). The simulation performance of the bionic digestive tract is excellent, has strong consistency with a true human digestive tract in terms of performance, structure and function, can simulate the true states of food, drugs and microorganisms in a digestive system, and has great application prospects in the research process of food and drugs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object detection predictions from a neural network. In some implementations, an input characterizing a first region of an environment is obtained. The input includes a projected laser image generated from a three-dimensional laser sensor reading of the first region, a camera image patch generated from a camera image of the first region, and a feature vector of features characterizing the first region. The input is processed using a high precision object detection neural network to generate a respective object score for each object category in a first set of one or more object categories. Each object score represents a respective likelihood that an object belonging to the object category is located in the first region of the environment.

Abstract: The present disclosure is directed to combining the strengths of different methods of analyzing collected sensor data to updating a driving pattern of an automated vehicle (AV). This may include combining data from sets of data that track movement of objects over time with instantaneously received sensor data based on a series of steps that include accessing data that tracks the motion of objects in the field of view of a sensing apparatus, receiving current sensor data that includes a component of current or instantaneous object motion, and identifying whether controls of AV should be maintained or changed. When controls of the AV are maintained, an AV may be controlled to stay in driving in a same lane of a roadway at a same velocity. When controls of an AV are changed, changes may include applying, increasing a velocity, or altering the course of the AV.

Abstract: Systems and methods are provided for the realistic simulation of distributed systems, such as vehicle-based processing systems. A statistical property of message timestamps of a plurality of prior messages from one or more recorded processes is determined. During a simulation, messages that are generated are associated with timing data based on the statistical property from the recorded processes.