Abstract: A method performed by a network node (260, 800) is disclosed. The network node determines (701), based on one or more quality-of-service (QoS) parameters, an aggregated uplink (UL) scheduling pattern for a wireless device (210, 1000, 1100), the aggregated UL scheduling pattern for the wireless device comprising UL resources from a plurality of carriers. The one or more QoS parameters indicate one or more QoS requirements associated with a service. At least one of the one or more QoS parameters indicates a delay requirement 0 associated with the service.

Abstract: A transmit power adjustment method, apparatus, and a system. The system is configured for obtaining a first distance between a first antenna and a second antenna, determining a first transmit power of the first antenna, and a second transmit power of the second antenna, wherein, when the first distance is greater than a first value, the first transmit power is at or below a first limit power, and the second transmit power is at or below a second limit power, or wherein, when the first distance is less than the first value, a sum of a first exposure ratio of the first transmit power and a second exposure ratio of the second transmit power is less than or equal to 1, and transmitting, a signal at the first transmit power through the first antenna and a signal at the second transmit power through the second antenna.

Abstract: There is provided a method performed by a wireless device for communicating with a network node in a wireless communication network. The method includes using a field in a Master Information Block (MIB) received by the wireless device, as an indication of a presence of an extended MIB (eMIB) and identifying which candidate resource of at least one candidate resource that contains the eMIB based on the indication of the presence of the eMIB. There is also provided a corresponding wireless device for communicating with a network node, a method perform by a network node, and a network node.

Abstract: Disclosed is a method for gene expression by transient transformation of a wild rice seed using Agrobacterium. The method includes the following steps: subjecting a wild rice seed to induction culture and subculture in sequence, and selecting a resulting callus with a dense structure to allow pre-culture to obtain a pre-cultured callus; transforming a 1305Ubi-Ubi-GFP-H plasmid carrying a green fluorescent protein (GFP) gene into an Agrobacterium strain EHA105 or LBA4404 to obtain a positive Agrobacterium strain; subjecting the positive Agrobacterium strain to culture to obtain a bacterial suspension with an optical density (OD) value of 0.02 to 0.5 at a wavelength of 600 nm to obtain an infection bacterial solution; and infecting the pre-cultured callus with the infection bacterial solution to allow co-culture and recovery culture in sequence; observing an infection status of a recovered callus under a stereo fluorescence microscope, and calculating a transient expression rate.

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 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 variety of generative models are trained that are trained on a reference data set. The generative models are evaluated by candidate metrics to determine the relative rankings of the models as evaluated by the different candidate metrics. Rankings as generated by the models is compared with human evaluation of the generated results as simulated and the candidate metrics that most align with the human evaluation may then be used to automatically evaluate subsequent generative models. The candidate metrics may include various types of encoding models trained for non-generative purposes, such that the selected candidate metric may represent selecting an encoding model that performs well on the generative data.

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 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: 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: 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: 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.