Abstract: The present disclosure provides a cell segmentation and typing method, device, apparatus and medium based on machine learning. The method includes: acquiring at least one cell metabolism image of a target object; performing single cell image segmentation on the at least one cell metabolism image by using a machine learning segmentation model to obtain a plurality of single cell metabolism images; performing single cell feature extraction on each single cell metabolism image of the plurality of single cell metabolism images to obtain a single cell image feature map corresponding to the single cell metabolism image; combining the single cell image feature map corresponding to each single cell metabolism image of the plurality of single cell metabolism images to obtain an image feature map of the target object; performing typing of the cell by clustering the image feature map of the target object.

Abstract: A metal heating film includes: a nickel-chromium-alloy-based metal heating film or a nickel-based metal heating film; and at least one of metal elements Ru, Pt, and Pd. In an embodiment.

Abstract: An accelerator architecture is presented for a Transformer machine learning model. The accelerator is comprised of: one or more memory devices, each memory device has a random access memory and is configured for processing in memory, where a key matrix, a value matrix, a query weight matrix, a key weight matrix, and a value weight matrix for an attention mechanism of the Transformer machine learning model are stored in the one or more memory devices; and a control device interfaced with each of the one or more memory devices, the control device is used to coordinate the vector matrix multiplication operations performed on the memory devices, perform other arithmetic and logic operations used in attention blocks that are not suited for the memory devices, and coordinate the updates of the key and value matrices in the one or more memory devices.

Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.

Abstract: Embodiments of the present application provide a method and a device for optimizing a target operation speed curve in an ATO of a train. The method includes: calculating a plurality of performance indexes of the train driving in a current section of a line, and constructing an objective function for optimizing the target operation speed curve of the train according to the plurality of performance indexes; determining constraint conditions of the objective function according to speed limit information of the line and running time of the train in the current section; and solving the objective function according to the constraint conditions based on a differential evolution algorithm to obtain the target operation speed curve of the train. The objective function for optimizing the target operation speed curve of the train are constructed using the plurality of performance indexes, which makes the optimization of the train speed curve more accurate.

Abstract: Embodiments of the present application provide a method and a device for optimizing a target operation speed curve in an ATO of a train. The method includes: calculating a plurality of performance indexes of the train driving in a current section of a line, and constructing an objective function for optimizing the target operation speed curve of the train according to the plurality of performance indexes; determining constraint conditions of the objective function according to speed limit information of the line and running time of the train in the current section; and solving the objective function according to the constraint conditions based on a differential evolution algorithm to obtain the target operation speed curve of the train. The objective function for optimizing the target operation speed curve of the train are constructed using the plurality of performance indexes, which makes the optimization of the train speed curve more accurate.

Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.

Abstract: Phase sensitive X-ray imaging methods provide substantially increased contrast over conventional absorption based imaging, and therefore new and otherwise inaccessible information. The use of gratings as optical elements in hard X-ray phase imaging overcomes some of the problems impairing the wider use of phase contrast in X-ray radiography and tomography. To separate the phase information from other contributions detected with a grating interferometer, a phase-stepping approach has been considered, which implies the acquisition of multiple radiographic projections. Here, an innovative, highly sensitive X-ray tomographic phase contrast imaging approach is presented based on grating interferometry, which extracts the phase contrast signal without the need of phase stepping. Compared to the existing phase step approach, the main advantage of this new method dubbed “reverse projection” is the significantly reduced delivered dose, without degradation of the image quality.

Abstract: Phase sensitive X-ray imaging methods provide substantially increased contrast over conventional absorption based imaging, and therefore new and otherwise inaccessible information. The use of gratings as optical elements in hard X-ray phase imaging overcomes some of the problems impairing the wider use of phase contrast in X-ray radiography and tomography. To separate the phase information from other contributions detected with a grating interferometer, a phase-stepping approach has been considered, which implies the acquisition of multiple radiographic projections. Here, an innovative, highly sensitive X-ray tomographic phase contrast imaging approach is presented based on grating interferometry, which extracts the phase contrast signal without the need of phase stepping. Compared to the existing phase step approach, the main advantage of this new method dubbed “reverse projection” is the significantly reduced delivered dose, without degradation of the image quality.

Abstract: An x-ray imaging system uses a synchrotron radiation beam to acquire x-ray images and at least one integrated x-ray source. The system has an imaging system including sample stage controlled by linear translation stages, objective x-ray lens, and x-ray sensitive detector system, placed on a fixed optical table and a mechanical translation stage system to switch x-ray sources when synchrotron radiation beam is not available.

Abstract: An x-ray imaging system uses a synchrotron radiation beam to acquire x-ray images and at least one integrated x-ray source. The system has an imaging system including sample stage controlled by linear translation stages, objective x-ray lens, and x-ray sensitive detector system, placed on a fixed optical table and a mechanical translation stage system to switch x-ray sources when synchrotron radiation beam is not available.