Abstract: A method performed by a User Equipment (UE) for handling a Control Resource Set (CORESET) from a network node in a wireless communications network is provided. The UE operates with a reduced bandwidth. The UE detects a CORESET from the network node, and that a bandwidth of the CORESET is larger than the bandwidth of the UE. Physical Downlink Control Channel (PDCCH) candidates are transmitted in the CORESET. The UE determines which part of the CORESET to skip, to make the bandwidth of the CORESET equal or smaller than the bandwidth of the UE, such that the UE is capable of receiving the CORESET. The part of the CORESET to be skipped is determined based on a predicted decoding performance of the PDCCH candidates in the CORESET.

Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

Abstract: A digital control method is to accurately calculate the real-time addition amount of each dye in the solution replenishment system in the whole dyeing process based on the initial dyeing rate of each dye, and replenish the dye solution according to the real-time addition amount. A digital control system includes an automatic calculation K0,n value unit, a central processing unit and a replenishment pump. The automatic calculation K0,n value unit is composed of a dye solution concentration detection instrument, a sensor I and a BP neural network model. The BP neural network model is a BP neural network trained by a dye database. The automatic calculation K0,n value unit transmits the K0,n value to the central processing unit, calculates the replenishment amount through the central processing unit, and controls the replenishment pump to replenish the solution.

Abstract: A classification model is calibrated with a conformal threshold to determine a known error rate for classifications. Rather than directly use the model outputs, the classification model outputs are processed to a conformal score that is compared with a conformal threshold for determining whether a data sample is a member of a class. When a number of classes for the data sample that pass the conformal threshold for inclusion is a single class, an action associated with the class can confidently be applied with a known error rate. When the number of classes is zero or multiple classes, it may indicate sufficient uncertainty in the model prediction and the data sample may be escalated to another decision mechanism, such as manual review or a more complex classification model.

Abstract: The invention discloses a low power consumption and high precision resistance-free CMOS reference voltage source circuit, which includes a, a positive temperature coefficient voltage generation circuit and a starting circuit. The self-bias current source circuit uses two NMOS tubes with different threshold voltages in the subthreshold region to form a stack structure, which generates the bias current and negative temperature coefficient voltage on the order of nanoampere. The positive temperature coefficient voltage generation circuit uses PMOS differential to generate positive temperature coefficient voltage for the structure and performs first-order curvature compensation for negative temperature coefficient voltage.

Abstract: A transmit power control method includes obtaining an uplink-downlink configuration (uplink (UL)/downlink (DL) assignment) from a network side and determining a power decrease that can be reduced in the uplink-downlink configuration compared with that in an all-uplink configuration when and uplink time proportion configured in the uplink-downlink configuration is not 100% and the uplink-downlink configuration is not the all-uplink configuration.

Abstract: A wireless device (12) is configured for use in a wireless communication system (10). The wireless device (12) is configured to receive signaling (16) from a network node (14). The signaling (16) in some embodiments indicates that a reference signal (20) is configured to be transmitted before and/or during every L occurrence of a physical downlink control channel search space (18), wherein L?2. In other embodiments, the signaling (16) indicates that a reference signal (20) is configured to be transmitted before and/or during every K discontinuous reception, DRX, cycle (22), wherein K?2.

Abstract: The disclosed embodiments include computer-implemented apparatuses and processes that facilitate a real-time pre-approval of data exchanges using trained artificial intelligence processes. For example, an apparatus may receive, from a device, application data characterizing an application for an exchange of data involving one or more applicants, and may generate an input dataset based on at least a portion of the application data and on interaction data characterizing the one or more applicants. Further, and based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate, in real-time, elements of output data indicative of a predicted pre-approval of the application for the data exchange involving the one or more applicants, and may transmit the elements of output data to the device for presentation within a digital interface.

Abstract: According to one aspect of the disclosure, a wireless device is configured to transmit a random access preamble. The wireless device includes processing circuitry. The processing circuitry is configured to obtain a tone index, and determine a location within a frequency band for transmitting the random access preamble based on the obtained tone index.

Abstract: Nyquist ghost artifacts in echo planar imaging (“EPI”) are mitigated, reduced, or otherwise eliminated by implementing robust Nyquist ghost correction (“NGC”) directly from two reversed readout EPI acquisitions. As one advantage, these techniques do not require explicit reference scanning. A model-based process is used for directly estimating statistically optimal NGC coefficients from multi-channel k-space data.

Abstract: Model training systems collaborate on model training without revealing respective private data sets. Each private data set learns a set of client weights for a set of computer models that are also learned during training. Inference for a particular private data set is determined as a mixture of the computer model parameters according to the client weights. During training, at each iteration, the client weights are updated in one step based on how well sampled models represent the private data set. In another step, gradients are determined for each sampled model and may be weighed according to the client weight for that model, relatively increasing the gradient contribution of a private data set for model parameters that correspond more highly to that private data set.

Abstract: A sensor adjustment method includes obtaining a folding status parameter, where the folding status parameter is used to describe a folding extent of a foldable device, and where a component of the foldable device in a folded state causes interference to a first sensor of the foldable device compared with a non-folded state; invoking a sensor adjustment corresponding to the folding status parameter; and adjusting a sensor operating parameter of the first sensor according to the sensor adjustment and/or performing data preprocessing on first sensor data collected by the first sensor.

Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

Abstract: Nyquist ghost artifacts in echo planar imaging (“EPI”) are mitigated, reduced, or otherwise eliminated by implementing robust Nyquist ghost correction (“NGC”) directly from two reversed readout EPI acquisitions. As one advantage, these techniques do not require explicit reference scanning A model-based process is used for directly estimating statistically optimal NGC coefficients from multi-channel k-space data.

Abstract: A method includes obtaining an average radio frequency exposure value over a target time window, where the target time window is a standard time window, determining a power threshold corresponding to the average radio frequency exposure value, where the power threshold is a preset power value corresponding to a preset value range to which the average radio frequency exposure value belongs, and controlling a transmit power of the wireless device based on the power threshold over a controlled time window.

Abstract: A transmit power control method includes obtaining an uplink-downlink configuration (uplink (UL)/downlink (DL) assignment) from a network side and determining a power decrease that can be reduced in the uplink-downlink configuration compared with that in an all-uplink configuration when and uplink time proportion configured in the uplink-downlink configuration is not 100% and the uplink-downlink configuration is not the all-uplink configuration.

Abstract: Described here are systems and methods for evaluating the extent of brain-skull tethering, which may also be referred to as loss of trabecular reserve, in subjects using magnetic resonance elastography (“MRE”). The present disclosure describes a method for assessing progressive damage to arachnoid space (“SAS”) trabeculae. The method generally includes measuring the relative movement between the brain and the skull using MRE. As one example, an MRE-based method named slip interface imaging (“SII”) can be implemented. By measuring trabecular reserve in subjects who have a history of prior head trauma, the susceptibility of a given subject to future injury can be assessed.

Abstract: Described here are systems and methods for evaluating the extent of brain-skull tethering, which may also be referred to as loss of trabecular reserve, in subjects using magnetic resonance elastography (“MRE”). The present disclosure describes a method for assessing progressive damage to arachnoid space (“SAS”) trabeculae. The method generally includes measuring the relative movement between the brain and the skull using MRE. As one example, an MRE-based method named slip interface imaging (“SII”) can be implemented. By measuring trabecular reserve in subjects who have a history of prior head trauma, the susceptibility of a given subject to future injury can be assessed.

Abstract: Representative methods and systems are disclosed for reducing image distortion or increasing spatial resolution in echo planar magnetic resonance imaging. In representative embodiments, a targeted field of view (FOV) image is divided into segments, with each segment having a predetermined overlap region with an adjacent segment, such as in a phase-encoding direction. Image data is acquired for each segment, sequentially or simultaneously, using a reduced phase-encoding FOV with a 2D radiofrequency (RF) excitation pulse, and rotated and scaled magnetic field gradients. The 2D RF excitation pulse may also be modulated, such as onto a plurality of different carrier frequencies, for simultaneous acquisition of multiple segments in the same imaging plane. Using the spatial response of the 2D RF excitation pulse, the acquired image data for each segment of the plurality of segments is combined to generate a combined magnetic resonance image having the targeted field of view.

Abstract: Representative methods and systems are disclosed for reducing image distortion or increasing spatial resolution in echo planar magnetic resonance imaging. In representative embodiments, a targeted field of view (FOV) image is divided into segments, with each segment having a predetermined overlap region with an adjacent segment, such as in a phase-encoding direction. Image data is acquired for each segment, sequentially or simultaneously, using a reduced phase-encoding FOV with a 2D radiofrequency (RF) excitation pulse, and rotated and scaled magnetic field gradients. The 2D RF excitation pulse may also be modulated, such as onto a plurality of different carrier frequencies, for simultaneous acquisition of multiple segments in the same imaging plane. Using the spatial response of the 2D RF excitation pulse, the acquired image data for each segment of the plurality of segments is combined to generate a combined magnetic resonance image having the targeted field of view.