Abstract: Provided are a secondary battery which includes a positive electrode sheet, a negative electrode sheet, and a separator placed between the positive electrode sheet and the negative electrode sheet. In some embodiments, the positive electrode sheet includes a positive electrode current collector and positive film layers A1 and B1 respectively provided on two surfaces of the positive electrode current collector, and the negative electrode sheet includes a negative electrode current collector and negative film layers respectively provided on two surfaces of the negative electrode current collector, where capacities per unit area Cap A1 and Cap B1 of the positive film layers A1 and B1 satisfy Cap A1<Cap B1, and the negative electrode current collector of the negative electrode sheet is provided with at least one through hole.

Abstract: Described herein are systems, methods, and instrumentalities associated with reconstruction of multi-contrast magnetic resonance imaging (MRI) images. The reconstruction may be performed based on under-sampled MRI data collected for the multiple contrasts using corresponding sampling patterns. The sampling patterns and the reconstruction operations for the multiple contrasts may be jointly optimized using deep learning techniques implemented through one or more neural networks. An end-to-end reconstruction optimizing framework is provided with which information collected while processing one contrast may be stored and used for another contrast. A differentiable sampler is described for obtaining the under-sampled MRI data from a k-space and a novel holistic recurrent neural network is used to reconstruct MRI images based on the under-sampled MRI data.

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: Disclosed is an optical module, comprising: a light emitting component for generating and outputting signal light, including a laser; the laser includes: a laser chip for generating signal light; a substrate which is provided with a chip mounting groove in its top side, a circuit is laid on a top surface of the substrate, the laser chip is arranged in the chip mounting groove, with the laser chip being connected to the circuit via bonding wires.

Abstract: An unsupervised machine learning method with self-supervision losses improves a slice-wise spatial resolution of 3D medical images with thick slices, and does not require high resolution images as the ground truth for training. The method utilizes information from high-resolution dimensions to increase a resolution of another desired dimension.

Abstract: Described herein are systems, methods, and instrumentalities associated with medical image enhancement. The medical image may include an object of interest and the techniques disclosed herein may be used to identify the object and enhance a contrast between the object and its surrounding area by adjusting at least the pixels associated with the object. The object identification may be performed using an image filter, a segmentation mask, and/or a deep neural network trained to separate the medical image into multiple layers that respectively include the object of interest and the surrounding area. Once identified, the pixels of the object may be manipulated in various ways to increase the visibility of the object. These may include, for example, adding a constant value to the pixels of the object, applying a sharpening filter to those pixels, increasing the weight of those pixels, and/or smoothing the edge areas surrounding the object of interest.

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: 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: Disclosed herein include systems, devices, and methods for determining the total copy number of kringle IV type 2 (KIV-2) domain of LPA gene, and/or the copy number of KIV-2 domain of each allele of LPA gene, a subject from sequence reads (e.g., short reads) generated from a sample obtained from the subject.

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 nuclear magnetic resonance (NMR) system-based substance measurement method, including: acquiring several echo signals of an NMR pulse sequence varying in echo spacing from a substance to be measured followed by processing to obtain several signals varying in transverse relaxation and diffusion attenuation; and fitting, in combination with the prior knowledge, the signals to obtain the diffusion coefficient, transverse relaxation time or/and content weight of individual components of the substance to be measured. This application further provides a substance measurement system including a console, a magnet module, and an NMR system.

Abstract: A method for starting a serverless container includes loading a code segment file of an application to create an application instance; and loading a snapshot file of the application, where the snapshot file includes a deserialized data segment of the application.

Abstract: A lithium ion secondary battery and a preparation method therefor, a battery module, a battery pack, and a device are provided. In some embodiments, the lithium ion secondary battery comprises a positive electrode plate, a negative electrode plate and an electrolyte, wherein the positive electrode plate comprises a positive electrode active material and a positive electrode lithium-supplementing material comprising a lithium-rich metal oxide, and the lithium-rich metal oxide comprises one or more elements of Ni, Co, Fe, Mn, and Cu; the electrolyte comprises an electrolyte lithium salt and a solvent, and has a percentage ? of the total mass of a fluorine element in the anions of the electrolyte lithium salt relative to the total mass of the electrolyte of <14%.

Abstract: An impact resistant wound cell comprises a first electrode plate with a first surface and a second surface. The first surface comprises a first active material area and a first current collector area, the second surface comprises a second active material area and a second current collector area. The first current collector area is located on an inner side of an outermost circle of the wound cell. In the first electrode plate, the second current collector area and the first current collector area are adjacent to and opposite to each other, the first current collector area and the second current collector area are bonded together by a first bonding member. The present disclosure further provides a battery using the wound cell.

Abstract: A computer-implemented method to estimate an execution time for large query batches. The method includes identifying a batch of queries, where the batch of queries where each query is configured to retrieve data from a database. Selecting a first query and generating an access path for the first query including one or more mini plans. Building a learning model for the one or more mini plans. Estimating an estimated execution time for each of the one or more mini plans. Adding each of the estimated execution times for each of the one or more mini plans to determine a first total estimated time for the first query. Displaying the first total estimated time.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed using a feature pyramid and/or a motion pyramid that correspond to multiple image scales. The motion estimation may be performed using neural networks and parameters that are learned via a training process involving a student network and a teacher network pre-pretrained with abilities to apply progressive motion compensation.

Abstract: A method for recovering activity of a battery includes obtaining a battery state-of-health value of the battery during a charging process, applying an activation voltage to the battery in response to the battery state-of-health value being less than or equal to a first preset threshold such that lithium ions at a lithium supplement agent of the battery are released to an electrolyte solution, and stopping application of the activation voltage and continuing a normal charge-discharge cycle in response to the battery state-of-health value increasing to be greater than or equal to a second preset threshold. The activation voltage is higher than a normal charging voltage of the battery.

Abstract: This disclosure provides a memory management method and apparatus, to perform refined management on a process access status in a physical host, a virtual machine, or a container, and a traffic occupation status of each control group (cgroup). The method can includes a first record table corresponding to a target cache page is used to record all cgroups that have read or written target data from or into the target cache page and a quantity of times that the target data is read or written by all the cgroups, to improve accuracy of a traffic statistics result of a cgroup. In this case, throttling is performed on a first cgroup based on an updated first record table, so that throttling on the first cgroup can be more fair and accurate.

Abstract: A method includes obtaining n pairs of translation sentences of a source language and a target language, where each of the n pairs of translation sentences includes a source language sentence and a target language sentence that are translations of each other, extracting a source language segment from each source language sentence in the n pairs of translation sentences using an extraction rule of the source language, extracting a target language segment from each target language sentence in the n pairs of translation sentences, and generating an extraction rule of the target language based on n target language segments extracted from n target language sentences.

Abstract: A method for non-invasive quantification of organ fat using a magnetic resonance approach includes: constructing a detection system; connecting a detection area; detection system startup; acquiring data; analyzing data; and performing horizontal data analysis. An external computer, a radio frequency (RF) subsystem, and a portable magnet module are used to construct a system for non-invasive quantification of organ fat based on low-field nuclear magnetic resonance (LF-NMR), which causes no damage, and achieves accurate and non-invasive quantification of organ fat. Specific pulse sequences are used to excite nuclear spin in a target region to generate LF-NMR, so as to achieve “one-click” detection, which is used for fast screening of related diseases such as non-alcoholic fatty liver disease (NAFLD). The system has accurate quantification, and is easy to operate without constraints of operator qualifications.