Abstract: Provided herein is a technology for an autonomous vehicle cloud system (AVCS). The AVCS provides sensing, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level using data from one or more of other vehicles, a roadside unit, cloud-based platform, or traffic control center/traffic control unit. Specifically, the autonomous vehicles are effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level to improve AV operations. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: The present disclosure provides a system for SMS MRI. During each of a plurality of frames, the system may cause an MRI scanner to apply a plurality of PE steps to each of a plurality of slice locations of a subject to acquire echo signals. A phase modulation magnetic field gradient may be applied during each of at least some of the PE steps in the frame. For each frame, the system may reconstruct an aliasing image representative of the slice locations in the frame based on the corresponding echo signals. The system may also generate a plurality of reference slice images based on the aliasing images. The system may further reconstruct at least one slice image based on the aliasing images and the reference slice images. Each of the slice image may be representative of one of the slice locations in one of the frames.

Abstract: A touch display device is provided. At least one touch electrode includes a first part corresponding to each of at least one additional function area and a second part corresponding to a normal display area. Length and width of at least one trace of a connecting part between each adjacent two of touch sensing parts in the first part are increased to reduce capacitance difference between the first part and the second part. Areas without any pixel unit in each of the at least one additional function area form light transmissive areas, respectively. Thus, a transmission percentage is increased. Touch and display functions of each of at least one additional function area are ensured to be normal, and the transmission percentage is increased at the same time.

Abstract: A touch display device is provided. At least one touch electrode includes a first part corresponding to each of at least one additional function area and a second part corresponding to a normal display area. Length and width of at least one trace of a connecting part between each adjacent two of touch sensing parts in the first part are increased to reduce capacitance difference between the first part and the second part. Areas without any pixel unit in each of the at least one additional function area form light transmissive areas, respectively. Thus, a transmission percentage is increased. Touch and display functions of each of at least one additional function area are ensured to be normal, and the transmission percentage is increased at the same time.

Abstract: The present disclosure addresses a novel feedback design methodology to meet the emerging frontiers of beamforming radio frequency (RF) technology in the areas of machine learning and surveillance. The feasibility of developing adaptive waveform modulation schemes for spectrum management in radars via orthogonal wavelet concepts. With the increasing prevalence of RF spectrum bandwidth limitations, this approach of adaptive feedback waveforms addresses advanced signal processing beamforming technique for phase array RF improving overall sensing performance. The adaptive illumination waveform algorithms for enhancing detection, discrimination, and tracking is motivated from the analogy drawn between the cellular wireless communication systems and the general multi-static radar automotive systems.

Abstract: Polarized nuclear imaging and spectroscopy systems and methods are disclosed. In some embodiments, nuclei of a radioactive substance are polarized such that the spins of the nuclei are oriented in a specific direction, to generate a polarized radioactive tracer with anisotropic gamma ray emission. The radioactive substance is selected such that the degree of anisotropy is enhanced. A tracer is introduced into a living subject for delivery to a target area of interest in the subject. The tracer is delivered such that nuclear spin relaxation of the tracer is inhibited during transport of the tracer to the target area of interest. Gamma rays from the gamma ray emission are detected, and based on the detected gamma rays and properties associated with the anisotropic gamma ray emission, imaging data and/or spectroscopic data are obtained that are associated with the tracer in the subject.

Abstract: The present disclosure provides systems and methods for MR T1 mapping. A method may include obtaining at least three images of a subject acquired within an inversion recovery (IR) process, each image of the at least three images being acquired within a cardiac cycle during a breath-hold of the subject; and determining a T1 map of the subject based on the at least three images acquired within the IR process and a trained model.

Abstract: The present disclosure provides a system for MRI. The system may obtain MRI scan data of a subject by directing an MRI scanner to perform an MRI scan on the subject according to a first gradient waveform. The system may also determine a second gradient waveform based on the first gradient waveform and a gradient waveform determination model. The gradient waveform determination model may have been trained according to a machine learning algorithm. The system may further generate a target reconstruction image of the subject based on the second gradient waveform and the MRI scan data.

Abstract: The present disclosure provides systems and methods for MR T1 mapping. A method may include obtaining at least three images of a subject acquired within an inversion recovery (IR) process, each image of the at least three images being acquired within a cardiac cycle during a breath-hold of the subject; and determining a T1 map of the subject based on the at least three images acquired within the IR process and a trained model.

Abstract: The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

Abstract: A method for SMS imaging may include obtaining target k-space data related to a region of interest (ROI) of an object. The method may also include generate, based on the target k-space data using a trained reconstruction model, a plurality of target images each of which corresponds to one of a plurality of target slices of the ROI at one of a plurality of target acquisition periods.

Abstract: The present disclosure provides a system for MRI. The system may obtain a plurality of auxiliary signals and a plurality of imaging signals collected by applying an MRI pulse sequence simultaneously to a plurality of slice locations of a subject. For each of at least one target slice location of the plurality of slice locations, the system may generate at least one target image of the target slice location based on the plurality of auxiliary signals and the plurality of imaging signals. During the application of the MRI pulse sequence, phase modulation may be applied to at least one of the plurality of slice locations so that the plurality of slice locations have different phases during the readout of at least one of the plurality of imaging signals.

Abstract: The present disclosure provides a system for MRI. The system may obtain MRI scan data of a subject by directing an MRI scanner to perform an MRI scan on the subject according to a first gradient waveform. The system may also determine a second gradient waveform based on the first gradient waveform and a gradient waveform determination model. The gradient waveform determination model may have been trained according to a machine learning algorithm. The system may further generate a target reconstruction image of the subject based on the second gradient waveform and the MRI scan data.

Abstract: The present disclosure provides a system for MRI. The system may obtain MRI scan data of a subject by directing an MRI scanner to perform an MRI scan on the subject according to a first gradient waveform. The system may also determine a second gradient waveform based on the first gradient waveform and a gradient waveform determination model. The gradient waveform determination model may have been trained according to a machine learning algorithm. The system may further generate a target reconstruction image of the subject based on the second gradient waveform and the MRI scan data.

Abstract: An optical fingerprint recognition circuit and a display device are provided, which includes a first thin film transistor, a first switching unit, a second switching unit, a reset compensation unit, a storage capacitor, and a photodiode. The reset compensation unit resets a voltage of the gate of the first thin film transistor under the control of a reset signal, and the voltage is set to a sum of a predetermined voltage and a threshold voltage of the first thin film transistor through a reference voltage under the control of the reset signal, thereby compensating the threshold voltage. After the photodiode receives the light signal and changes the voltage according to the light signal, the first thin film transistor generates a corresponding current according to the voltage of its gate, which is independent of the threshold voltage. The accuracy of a recognition signal is ensured.

Abstract: A pixel circuit is provided, which includes a switching unit, a driving unit, a first light-emitting control unit, a second light-emitting control unit, a light-emitting unit, a storage unit, a voltage dividing unit, a reset unit, and a compensation unit. In the pixel circuit provided by the embodiment of the disclosure, the compensation unit, which is not limited to a duty cycle of a switching unit, can independently compensate a threshold voltage of the driving unit during a duty cycle of the compensation signal, and is suitable for high frequency pixel driving.

Abstract: A pixel circuit is provided, which includes a switching unit, a driving unit, a first light-emitting control unit, a second light-emitting control unit, a light-emitting unit, a storage unit, a voltage dividing unit, a reset unit, and a compensation unit. In the pixel circuit provided by the embodiment of the disclosure, the compensation unit, which is not limited to a duty cycle of a switching unit, can independently compensate a threshold voltage of the driving unit during a duty cycle of the compensation signal, and is suitable for high frequency pixel driving.