Abstract: A circuit is provided with a selectively diode-connected head switch transistor. During a light-sleep mode, the head switch transistor is diode connected so that a power supply voltage passing through the diode-connected head switch transistor is reduced by a transistor threshold voltage drop. During an active mode, the diode connection is opened so that the head switch transistor passes a power supply voltage with virtually no voltage drop.

Abstract: An apparatus may obtain a sequence of medical images of a target structure and determine, using a first ANN, a first segmentation and a second segmentation of the target structure based on a first medical image and a second medical image, respectively. The first segmentation may indicate a first plurality of pixels that may belong to the target structure. The second segmentation may indicate a second plurality of pixels that may belong to the target structure. The apparatus may identify, using a second ANN, a first subset of true positive pixels among the first plurality of pixels that may belong to the target structure, and a second subset of true positive pixels among the second plurality of pixels that may belong to the target structure. The apparatus may determine a first refined segmentation and a second refined segmentation of the target structure based on the true positive pixels.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device and storage medium for storing data. After target data is obtained, a first data feature of the target data is extracted, the first data feature representing a data volume of the target data; the target shard number is obtained based on the first data feature, the target shard number representing the number of storage units for storing target data; a corresponding storage engine is obtained based on the target shard number, and the target data is stored in the storage engines in shards. The matched target shard number is obtained based on the first data feature of the target data, and a corresponding storage engine for storage is obtained based on the target shard number.

Abstract: A silicon-containing electron transporting material and its application are disclosed. The silicon-containing electron transporting material employs a silicon-containing compound with a novel structure containing one or more silicon atoms and a specific group. The compound can be used as an electron transporting layer of an electroluminescent device, which can effectively improve the lifetime of the device and improve device performance. An electroluminescent device and compound formulation are also disclosed.

Abstract: Described herein are systems, methods, and instrumentalities associated with processing complex-valued MRI data using a machine learning (ML) model. The ML model may be learned based on synthetically generated MRI training data and by applying one or more meta-learning techniques. The MRI training data may be generated by adding phase information to real-valued MRI data and/or by converting single-coil MRI data into multi-coil MRI data based on coil sensitivity maps. The meta-learning process may include using portions of the training data to conduct a first round of learning to determine updated model parameters and using remaining portions of the training data to test the updated model parameters. Losses associated with the testing may then be determined and used to refine the model parameters. The ML model learned using these techniques may be adopted for a variety of tasks including, for example, MRI image reconstruction and/or de-noising.

Abstract: Deep learning based systems, methods, and instrumentalities are described herein for registering images from a same imaging modality and different imaging modalities. Transformation parameters associated with the image registration task are determined using a neural ordinary differential equation (ODE) network that comprises multiple layers, each configured to determine a respective gradient update for the transformation parameters based on a current state of the transformation parameters received by the layer. The gradient updates determined by the multiple ODE layers are then integrated and applied to initial values of the transformation parameters to obtain final parameters for completing the image registration task. The operations of the ODE network may be facilitated by a feature extraction network pre-trained to determine content features shared by the input images.

Abstract: A positive electrode pre-lithiation reagent, which includes an inner core and a coating layer is described. The inner core includes a lithium-rich metal oxide; the coating layer covers the surface of the inner core and includes a conductive polymer and a low surface energy material. The surface energy of the low surface energy material is 10 mJ/m2 to 35 mJ/m2, optionally 10 mJ/m2 to 22 mJ/m2.

Abstract: A comprehensive and integrated solution, including a dedicated system structure and grounding mechanism, a main radio frequency (RF) coil to transmit and receive signal, secondary RF coils to saturate unwanted signals from non-region-of-interest (ROI) in the excited region, an RF shielding structure configured to shield the main RF coil from generating signals on the non-ROI, and an environmental noise active cancellation mechanism is proposed to construct an NMR system for non-invasive quantitative detection of organs, and further improves the target region selectivity and detection accuracy.

Abstract: An integrated circuit is disclosed that includes a power supply multiplexer for selecting between a first power supply voltage and a second power supply voltage to provide a selected power supply voltage to a memory. A controller includes a comparator stage having a comparator with switchable inputs so that the comparator stage may control a binary state of a first output signal responsive to whether the first power supply voltage is greater than the second power supply voltage plus a voltage offset of the comparator. Similarly, the comparator stage may control a binary state of a second output signal responsive to whether the first power supply voltage is greater than the second power supply voltage minus the voltage offset. The controller controls the selection by the power supply multiplexer responsive to the binary states of the first and second output signals.

Abstract: A memory is provided that includes bitcell VDD boosting to increase a read margin. In some implementations, the positive boost for the bitcell VDD may be provided by a capacitor that is also used for negative boosting of a write driver.

Abstract: A method, computer system, and a computer program product are provided for managing an accelerated shutdown of a networked system having a having a plurality of nodes. The system to be shutdown is analyzed and a priority order is determined for the nodes. An interval period is also determined between each node according to the priority order. A leaf node set is constructed according to different shutdown types required for each node and a dependency tree is constructed by analyzing the leaf node sets. Each node is then shutdown according to the tree and the interval period determined. The dependency tree and the interval period is iteratively modified during the node shutdown until all nodes and ultimately the system shutdown has been completed.

Abstract: Embodiments of this application provide a call processing method and system, and a device, to transfer call chain information during call. After obtaining a first call request, when receiving a second call request that carries a first thread identifier, a first agent server of a first node can input, into a header file of the second call request based on a first mapping relationship, second call chain information obtained through processing based on first call chain information, to obtain a third call request, where the first mapping relationship is a mapping relationship between the first call chain information and the first thread identifier. In this way, the first node does not need to perform call chain-related processing in a process of generating the second call request, thereby achieving zero intrusion of a service into a call chain.

Abstract: Disclosed herein are systems, methods, and instrumentalities associated with magnetic resonance (MR) image reconstruction. An under-sampled MR image may be reconstructed through an iterative process (e.g., over multiple iterations) based on a machine-learning (ML) model. The ML model may be obtained through a reinforcement learning process during which the ML model may be used to predict a correction to an input MR image of at least one of the multiple iterations, apply the correction to the input MR image to obtain a reconstructed MR image, determine a reward for the ML model based on the reconstructed MR image, and adjust the parameters of the ML model based on the reward. The reward may be determined using a pre-trained reward neural network and the ML model may also be pre-trained in a supervised manner before being refined through the reinforcement learning process.

Abstract: The present disclosure belongs to the technical field of biosensors and particularly provides a construction method for a photocathode indirect competition sensor and an evaluation method. The construction method includes: using Z-type Bi2O3/CuBi2O4 as a sensing platform; calculating a photoinduced electron Z-type transfer path and an energy band structure of Bi2O3 and CuBi2O4 using a density functional theory (DFT); and constructing a Bi2O3/CuBi2O4-based biosensor. A photoelectrochemical (PEC) photocathode biosensor based on a Bi2O3/CuBi2O4 heterojunction prepared through the solution has good repeatability, reproducibility, stability, and specificity for detecting a target. The PEC biosensor constructed in the solution of the present disclosure has a broad application prospect in the fields of healthcare, environment, and food.

Abstract: The motion estimation of an anatomical structure may be performed using a machine-learned (ML) model trained based on medical training images of the anatomical structure and corresponding segmentation masks for the anatomical structure. During the training of the ML model, the model may be used to predict a motion field that may indicate a change between a first training image and a second training image, and to transform the first training image and a corresponding first segmentation mask based on the motion field. The parameters of the ML model may then be adjusted to maintain a correspondence between the transformed first training image and the second training image and between the transformed first segmentation mask or a second segmentation mask associated with the second training image. The correspondence may be assessed based on at least a boundary region shared by the anatomical structure and one or more other anatomical structures.

Abstract: A system and/or method that can reduce impact of network latency can be provided. Information associated with a user device participating in an online meeting can be determined, for user devices connecting to the online meeting. Based on the information, the user devices can be grouped. For each of the user devices in a group, network quality associated with network connection between a user device in the group and a server managing the online meeting can be evaluated. Based on the network quality, at least one user device in the group can be designated to operate as a sharer device to at least one other user device in the group. The sharer device can be caused to stream data directly from the server during the online meeting. That one other user device can be caused to connect with and stream data from the sharer device.

Abstract: Disclosed herein are systems, methods, and instrumentalities associated with cardiac motion tracking and/or analysis. In accordance with embodiments of the disclosure, the motion of a heart such as an anatomical component of the heart may be tracked through multiple medical images and a contour of the anatomical component may be outlined in the medical images and presented to a user. The user may adjust the contour in one or more of the medical images and the adjustment may trigger modifications of motion field(s) associated with the one or more medical images, re-tracking of the contour in the one or more medical images, and/or re-determination of a physiological characteristic (e.g., a myocardial strain) of the heart. The adjustment may be made selectively, for example, to a specific medical image or one or more additional medical images selected by the user, without triggering a modification of all of the medical images.

Abstract: Described herein are systems, methods, and instrumentalities associated with denoising medical images such as fluoroscopic images using deep learning techniques. A first artificial neural network (ANN) is trained to denoise an input medical image in accordance with a provided target noise level. The training of the first ANN is conducted by pairing a noisy input image with target denoised images that include different levels of noise. These target denoised images are generated using a second ANN as intermediate outputs of the second ANN during different training iterations. As such, the first ANN may learn to perform the denoising task in an unsupervised manner without requiring noise-free training images as the ground truth.

Abstract: A method, system, and computer program product that are configured to: receive a Structured Query Language (SQL) statement including placeholders; generate sets of predicted values for the placeholders; generate candidate access paths in a database using the sets of predicted values; receive a query including the SQL statement with actual values instead of the placeholders; select one of the candidate access paths based on determining similarities of the actual values to ones of the sets of predicted values; in response to the selected one of the candidate access paths being acceptable, execute the query using the selected one of the candidate access paths; and in response to the selected one of the candidate access paths not being acceptable, generate a new access path in the database using the actual values, and execute the query using the new access path.

Abstract: A dataset is determined to include skewed data and based on determining that the dataset includes skewed data, one or more sparse indexes for the skewed data of the dataset are built. A sparse index of the one or more sparse indexes is for a range of data of the skewed data, and the building the sparse index includes indicating one pointer for a selected record of the range of data and indicating another pointer for another selected record of the range of data. The sparse index is provided to be used in a query of the dataset.