Abstract: Disclosed are scanning equipment, a method, a device and a storage medium thereof. The equipment comprises a rotatable rotating component, a scanning device, and a positioning device, where: the positioning device is used for respectively positioning the rotating component rotated to different predetermined positions, and the scanning device is used for scanning goods held on the rotating component having been positioned.

Abstract: A method and device for performing electrocardiography (ECG) analysis, the method including receiving ECG data that is from one or more leads, generating an image based on the ECG data, obtaining a feature map based on the image, inputting the feature map to a first neural network, the first neural network configured to generate an output based on the feature map inputted, inputting the output of the first neural network to a second neural network, the second neural network configured to obtain at least one temporal feature of the image based on the output of the first neural network and a previous state of the second neural network, and classifying a signal included in the ECG data based on the at least one temporal feature obtained by the second neural network.

Abstract: A write method for a resistive memory including a storage array, a control circuit and an access circuit is provided. The control circuit receives an external command to activate the access circuit to access the storage array. The write method includes determining whether the external command is ready to perform a write operation for the storage array; generating a first operation voltage group to the access circuit when the external command does not perform the write operation for the storage array; reading a count value of a block that corresponds to a write address when the external command performs the write operation for the storage array, wherein the count value indicates the number of times that the block corresponding to the write address performs the write operation; and generating a second operation voltage group to the access circuit according to the count value of the block.

Abstract: A method may include introducing a substituted olefin epoxide stream comprising a substituted olefin epoxide and a carbon monoxide stream comprising carbon monoxide into a carbonylation reactor; and carbonylating at least a portion of the substituted olefin epoxide with the carbon monoxide to generate a product stream comprising a substituted lactone, wherein the step of carbonylating is catalyzed by a catalyst comprising a cationic Lewis acid bound to a support.

Abstract: The present application provides a breathing and motion monitoring method for an MRI system, an MRI system and method, and a storage medium. The MRI includes a scanner, a controller, and a signal processor. The scanner includes a radio-frequency transmit chain and a radio-frequency transmit coil, and an object under detection is positioned relative to the radio-frequency transmit coil. The controller is configured to control the scanner to perform a scanning sequence on the object under detection to acquire image data. The scanning sequence includes a radio-frequency excitation stage, a signal acquisition stage, and an idle stage. In the radio-frequency excitation stage, the radio-frequency transmit chain transmits a first radio-frequency pulse to the radio-frequency transmit coil.

Abstract: In a multi-cloud computing environment comprising a plurality of cloud platforms, wherein one cloud platform is a source of a model and a data set and further wherein the model is to be executed against the data set on one or more of the other cloud platforms, the method maintains a decentralized architecture comprising a file system and a message bus, wherein the file system comprises a plurality of decentralized file system nodes corresponding to the plurality of cloud platforms, and the message bus comprises a plurality of decentralized message bus nodes corresponding to the plurality of cloud platforms. Further, the method manages sharing of the model and the data set via at least a portion of the decentralized file system nodes and manages messaging related to execution of the model against the data set via at least a portion of the decentralized message bus nodes.

Abstract: A self-adaptive air bag blocking device is disclosed. The device includes an air bag, a first gas conveying pipe and a second gas conveying pipe, wherein an air chamber is formed in the air bag, a ring-shaped abutting surface is formed on the peripheral side of the air bag, so that the abutting surface abuts against a mouth of a container. The first gas conveying pipe is communicated with the air chamber and the outer part of the air bag, so that air enters the air chamber to enable the air bag to expand. The abutting surface is elastically deformed and tightly abuts against the inner wall of the container to form air-tight abutment, and the second gas conveying pipe is arranged on the air bag, so that air enters the container through the second gas conveying pipe, and thus the working liquid is discharged.

Abstract: Systems and method are disclosed herein that relate to support for virtual Time-Sensitive Networking (TSN) bridge management, Quality of Service (QoS) mapping, and TSN related scheduling in a cellular communications system. In some embodiments, a method performed by one or more network nodes of a cellular communications system operating as a virtual TSN bridge of a TSN network comprises providing, to a controller associated with the TSN network, parameters that relate to capabilities of the virtual TSN bridge. The parameters that relate to the capabilities of the virtual TSN bridge comprise a first parameter that defines a clock accuracy of an entity in the cellular communications system that operates gating control for the virtual TSN bridge and a second parameter that informs the controller associated with the TSN network that the virtual TSN bridge or a particular egress port of the virtual TSN bridge is restricted to exclusive gating.

Abstract: A tool holder including a main body, a pressing plate and a retaining plate, wherein a long gap is formed between the pressing plate and the main body, so that a cutter can be inserted into the gap. The pawl is adjacent to the pressing plate, and two ends of the shaft rod are respectively connected with the main body, so that the pawl can rotate back and forth relative to the main body according to the shaft rod, thus preventing the pressing plate from pressing and positioning the cutter. According to the invention, the cutter setting and unloading convenience can be improved, and the positioning of the cutter setting can be changed according to the need of operation in damaging the sealant.

Abstract: A one-way oil-way driven expansion and retraction movement tool includes a hydraulic driving structure, two long arm rods and two connecting rods, wherein, the hydraulic driving structure has a cylinder barrel, a plunger and a shaft rod, the two arm rods are opposite each other and are opposite the two sides of the shaft rod in the lateral direction. One end of each arm rod is respectively pivoted on the cylinder barrel, and the other end of each arm rod is respectively used for arranging a working piece, so that each working piece can move toward or away from each other to execute corresponding work. The connecting rods are respectively pivoted with each of the arm rods and with the connecting part, so that, through the connecting rods, the shaft rod can pull the arm rods to move away from each other or toward each other.

Abstract: A resistive random access memory (RRAM) device and a manufacturing method are provided. The RRAM device includes bottom electrodes, a resistance switching layer, insulating patterns, a channel layer and top electrodes. The resistance switching layer blanketly covers the bottom electrodes. The insulating patterns are disposed on the resistance layer and located in corresponding to locations of the bottom electrodes. The channel layer conformally covers the resistance switching layer and the insulating patterns. The channel layer has a plurality of channel regions. The channel regions are located on the resistance switching layer, and cover sidewalls of the insulating patterns. The top electrodes respectively cover at least two of the channel regions, and respectively located in corresponding to one of the insulating patterns, such that the at least two of the channel regions are located between one of the bottom electrodes and one of the top electrodes.

Abstract: Systems and methods are provided for implementing a self-adaptive batch dataset partitioning control process which is utilized in conjunction with a distributed deep learning model training process to optimize load balancing among a set of accelerator resources. An iterative batch size tuning process is configured to determine an optimal job partition ratio for partitioning mini-batch datasets into sub-batch datasets for processing by a set of hybrid accelerator resources, wherein the sub-batch datasets are partitioned into optimal batch sizes for processing by respective accelerator resources to minimize a time for completing the deep learning model training process.

Abstract: A display panel and a fabrication method thereof, and a display apparatus are provided. The display panel includes: a base substrate, and a display region and a non-display region on the base substrate. The display region has a special shaped boundary, and includes: a plurality of display pixels and transition pixels; the transition pixels are provided between the display pixels and the special-shaped boundary; each of the display pixels and each of the transition pixels respectively include: a first electrode and a second electrode. An area of each of the first electrodes of the transition pixels is different from an area of each of the first electrodes of the display pixels; and/or, an area of each of the second electrodes of the transition pixels is different from an area of each of the second electrodes of the display pixel.

Abstract: A data processing method includes: obtaining a first subset and at least a second subset in a training dataset for learning, the first subset and the at least a second subset having a same size; determining a set of substrings based on data strings in the first subset and the at least a second subset, the substrings being suffix substrings of the data strings and being sorted in a lexicographical order; and determining a grain for deduplication of the training dataset from a set of longest common prefix (CLP) lengths of adjacent substrings in the set of substrings, for use in the deduplication. Thereby, different grains of duplicating procedures for different training datasets can be predicted automatically, and universality and flexibility of GPUaaS can be achieved. In addition, the deduplication rate can be improved, network resource waste can be reduced and system efficiency can be enhanced.

Abstract: A lightning protection apparatus disposed in a photovoltaic power generation system includes first lightning protection units in a one-to-one correspondence with phase lines at a to-be-protected location in the photovoltaic power generation system and a second lightning protection unit connected in series to the first lightning protection units. A first terminal of each first lightning protection unit is connected to a corresponding to-be-protected phase line, and a second terminal of each first lightning protection unit is connected to a first terminal of the second lightning protection unit. A second terminal of the second lightning protection unit is connected to an earth wire. The second lightning protection unit includes at least one gas discharge tube.

Abstract: A method of recognizing an object, an electronic device and storage medium are provided, which relate to a field of data processing, in particular to a field of object recognition. The method includes: acquiring a position information and an image data of an object to be detected; performing a feature extraction on the position information and the image data of the object to be detected to obtain a first target concatenating feature; inputting the first target concatenating feature into a pre-trained deep learning model to obtain a second target concatenating feature; determining a second sample concatenating feature matched with the second target concatenating feature by matching the second target concatenating feature with each second sample concatenating feature obtained by processing a first sample concatenating feature of a sample object; and determining the object to be detected as the sample object corresponding to the second sample concatenating feature.

Abstract: Example methods are provided for performing fast building and testing a software suite with multiple software components. In one example, the method may include obtaining a changed code file, identifying a software component of the software suite impacted by the changed code file, and instructing to generate a software component build based on the software component but excluding other software components of the software suite. Before completing generating the software component build, the method may also include selecting a software suite build. The method further includes instructing to prepare a testbed based on the software suite build and instructing to test the software component build on the testbed.

Abstract: Disclosed are a crystal form of a c-MET inhibitor and a salt form thereof and a preparation method therefor. Specifically involved are the compound as shown in formula (I), and a salt form and a crystal form thereof, and also included is the use of the crystal form and the salt form in the preparation of medicines for treating cancers.

Abstract: Methods and apparatuses for logical time sensitive network (TSN) bridge are disclosed. According to an embodiment, a session management node receives, from a mobility management node in a mobile network, a first request for establishing a protocol data unit (PDU) session for a terminal device which is associated with a port of a logical TSN bridge. The session management node obtains a first port number of the logical TSN bridge at the side of the terminal device.