Abstract: Spectroscopy systems require a crystal having specific properties for analyzing a spectrum of a sample, which is typically performed for measuring the presence of one element at a time. A two-dimensional (2D) crystal mount for performing simultaneous spectroscopy measurements includes a crystal holder having multiple rows of crystal mounts. Each crystal mount is positioned and orientated to physically support a crystal at a fixed position and fixed orientation relative to an optical axis. A sample provides radiation to analyzer crystals disposed in the crystal mounts, and a detector may detect radiation reflected from the analyzer crystals, for performing multiple simultaneous spectroscopy measurements.

Abstract: A honeycomb system includes at least one modular storage unit. The modular storage unit comprises a set of dual-goods-location shelves, at least one lifting machine, at least one shuttle vehicle and at least one power station. The set of dual-goods-location shelves are parallel to each other to form a roadway where the shuttle vehicle operates. The power station is arranged at two ends or in a middle portion of the dual-goods-location shelves and is integrated with a transmission mechanism and a support frame. The transmission mechanism is connected to the shuttle vehicle and the lifting machine to perform goods transfer therebetween.

Abstract: The present disclosure provides a method for maintaining stable combustion of a gas turbine during a dynamic process, a computer-readable medium, and a gas turbine control system. The method comprises: compensating a fuel control valve stroke command ?f,CLC with a fuel flow compensation function Gf,COMP(s); and compensating a VIGV command ?VIGV,CLC with an air flow compensation function Gair,COMP(s), wherein the fuel flow compensation function Gf,COMP(s) and the air flow compensation function Gair,COMP(s) satisfy the following relation: Gf,COMP(s)·Gf(s)=Gair,COMP(s)·Gair(s), and an fuel-to-air ratio is directly proportional to ?f,CLC/?VIGV,CLC even during the dynamic process, where Gf(s) represents an overall transfer function of a fuel channel from a fuel control valve servo system to an inlet of a combustion chamber, and Gair(s) represents an overall transfer function of an air channel from a VIGV servo system to the inlet of the combustion chamber.

Abstract: Calibration of eye tracking is improved by collecting additional calibration pairs when user is using apps with eye tracking. A user input component is presented on a display of an electronic device, detecting a dwelling action for user input component, and in response to detecting the dwelling action, obtaining a calibration pair comprising an uncalibrated gaze point and a screen location of the user input component, wherein the uncalibrated gaze point is determined based on an eye pose during the dwelling action. A screen gaze estimation is determine based on the uncalibrated gaze point, and in response to determining that the calibration pair is a valid calibration pair, training a calibration model using the calibration pair.

Abstract: Spectroscopy systems require a crystal having specific properties for analyzing a spectrum of a sample, which is typically performed for measuring the presence of one element at a time. A two-dimensional (2D) crystal mount for performing simultaneous spectroscopy measurements includes a crystal holder having multiple rows of crystal mounts. Each crystal mount is positioned and orientated to physically support a crystal at a fixed position and fixed orientation relative to an optical axis. A sample provides radiation to analyzer crystals disposed in the crystal mounts, and a detector may detect radiation reflected from the analyzer crystals, for performing multiple simultaneous spectroscopy measurements.

Abstract: A method may include determining, with a queue availability module, that an entry is available in a queue, asserting a bit in a register based on determining that an entry is available in the queue, determining, with a processor, that the bit is asserted, and processing, with the processor, the entry in the queue based on determining that the bit is asserted. The method may further include storing the register in a tightly coupled memory associated with the processor. The method may further include storing the queue in the tightly coupled memory. The method may further include determining, with the queue availability module, that an entry is available in a second queue, and asserting a second bit in the register based on determining that an entry is available in the second queue. The method may further include finding the first bit in the register using a find first instruction.

Abstract: This application discloses a facial recognition method and apparatus, a device and a medium, which relates to the field of image processing. The method includes: fusing a color map and a depth map of a facial image to obtain a fused image of the facial image, the fused image including two -dimensional information and depth information of the facial image (202); dividing the fused image into blocks to obtain at least two image blocks of the fused image (204); irreversibly shuffling pixels in the at least two image blocks to obtain a pixel-confused facial image (206); and determining an object identifier corresponding to the facial image according to the pixel-confused facial image (208).

Abstract: This application relates to the field of blockchain technologies, and specifically, to a transaction processing method and apparatus, a computer-readable medium, and an electronic device. The transaction processing method includes: performing availability detection on blockchain nodes according to transaction data recorded in a blockchain network, and determining whether each of the blockchain nodes is a normal node or an abnormal node; and transmitting, when a transaction request is generated through the abnormal node, the transaction request to the normal node, and cooperatively processing the transaction request through the abnormal node and the normal node. In the embodiments of this application, the transaction service continuity and stability and reliability can be improved.

Abstract: An information processing method and apparatus, a computer device, and a storage medium are disclosed. In the method, a request to perform a payment operation is received. A service page is displayed and an image of at least one part of a user is captured, in response to the request to perform the payment operation. Authentication of the user is performed based on the captured image of the at least one part of the user. While the authentication of the user is performed, a graphical representation of the at least one part of the user that is generated based on the captured image of the at least one part of the user is displayed. The graphical representation is unique to the user. The payment operation is performed when the user is authenticated based on the captured image of the at least one part of the user.

Abstract: A method may include determining, with a queue availability module, that an entry is available in a queue, asserting a bit in a register based on determining that an entry is available in the queue, determining, with a processor, that the bit is asserted, and processing, with the processor, the entry in the queue based on determining that the bit is asserted. The method may further include storing the register in a tightly coupled memory associated with the processor. The method may further include storing the queue in the tightly coupled memory. The method may further include determining, with the queue availability module, that an entry is available in a second queue, and asserting a second bit in the register based on determining that an entry is available in the second queue. The method may further include finding the first bit in the register using a find first instruction.

Abstract: This application discloses a method for implementing a software-defined network (SDN), including: receiving, by an SDN controller, virtual network information sent by a cloud computing platform, where the virtual network information includes a correspondence between information about a virtual machine (VM) and information about a server running the VM. The method also includes acquiring, by the SDN controller, physical network information, where the physical network information includes a correspondence between information about a top-of-rack (TOR) switch and the information about the server. Additionally, the method includes acquiring, by the SDN controller, a correspondence between the information about the VM and the information about the TOR switch according to the virtual network information and the physical network information.

Abstract: A material box storage and sorting system includes a material box storage module, a batch-of-orders sorting module, an order box goods collection cache module, an order box allocation module and a warehouse management module. The material box storage module is configured to store material boxes, and the material boxes are configured to store goods. The batch-of-orders sorting module is configured to perform parallel sorting of a batch of orders, so as to pick up goods from the material boxes into order boxes. The order box goods collection cache module is configured to cache and transfer the order boxes. The order box allocation module is configured to receive the order boxes cached and transferred by the order box goods collection cache module and to allocate the order boxes according to information of the user orders, so as to complete goods sorting for the batch of orders.

Abstract: The invention provides a method of producing graphene. The method comprising: A) mixing graphite powders with a silk fibroin nanofiber solution, performing mechanical stirring to exfoliate graphite to form graphene flakes; wherein the silk fibroin nanofibers in the silk fibroin nanofiber solution have a crystallinity of 40% or above; the silk fibroin nanofibers have a diameter of 10 to 30 nm; the silk fibroin nanofibers have a length of 100 nm to 3 ?m; the mechanical stirring has a shearing speed of 1,000 to 50,000 rpm; and the duration of the mechanical stirring is 10 min to 6 h; B) centrifuging the solution obtained in step A) after exfoliation to remove unexfoliated graphite; and C) centrifuging the centrifuged solution obtained in step B), and separating graphene from the silk fibroin nanofibers to obtain the graphene.

Abstract: A method may include determining, with a queue availability module, that an entry is available in a queue, asserting a bit in a register based on determining that an entry is available in the queue, determining, with a processor, that the bit is asserted, and processing, with the processor, the entry in the queue based on determining that the bit is asserted. The method may further include storing the register in a tightly coupled memory associated with the processor. The method may further include storing the queue in the tightly coupled memory. The method may further include determining, with the queue availability module, that an entry is available in a second queue, and asserting a second bit in the register based on determining that an entry is available in the second queue. The method may further include finding the first bit in the register using a find first instruction.

Abstract: In an example embodiment, position bias and other types of bias may be compensated for by using two-phase training of a machine-learned model. In a first phase, the machine-learned model is trained using non-randomized training data. Since certain types of machine-learned models, such as those involving deep learning (e.g., neural networks) require a lot of training data, this allows the bulk of the training to be devoted to training using non-randomized training data. However, since this non-randomized training data may be biased, a second training phase is then used to revise the machine-learned model based on randomized training data to remove the bias from the machine-learned model. Since this randomized training data may be less plentiful, this allows the deep learning machine-learned model to be trained to operate in an unbiased manner without the need to generate additional randomized training data.

Abstract: Representative embodiments set forth techniques for optimizing user interfaces on a client device. A method may include receiving a spatial difficulty map associated with the user interface. The method also includes identifying one or more user interface elements using an element detection model and generating a user interface layout based on at least the spatial difficulty map. The method also includes generating an updated user interface by editing the one or more user interface elements using the user interface layout and rendering, on a display of the client device, the updated user interface.

Abstract: Calibration of eye tracking is improved by collecting additional calibration pairs when user is using apps with eye tracking. A user input component is presented on a display of an electronic device, detecting a dwelling action for user input component, and in response to detecting the dwelling action, obtaining a calibration pair comprising an uncalibrated gaze point and a screen location of the user input component, wherein the uncalibrated gaze point is determined based on an eye pose during the dwelling action. A screen gaze estimation is determine based on the uncalibrated gaze point, and in response to determining that the calibration pair is a valid calibration pair, training a calibration model using the calibration pair.

Abstract: Methods, systems, and apparatuses are described causing light to be emitted, causing a frequency at which the light is emitted to vary, receiving, based on the frequency variation, a user input, determining a critical flicker frequency (CFF) corresponding to the user input, and determining, based on the CFF, a disease state.

Abstract: A honeycomb system includes at least one modular storage unit. The modular storage unit comprises a set of dual-goods-location shelves at least one lifting machine, at least one shuttle vehicle and at least one power station. The set of dual-goods-location shelves are parallel to each other to form a roadway where the shuttle vehicle operates. The power station is arranged at two ends or in a middle portion of the dual-goods-location shelves and is integrated with a transmission mechanism and a support frame. The transmission mechanism is connected to the shuttle vehicle and the lifting machine to perform goods transfer therebetween.

Abstract: In an example embodiment, position bias and other types of bias may be compensated for by using two-phase training of a machine-learned model. In a first phase, the machine-learned model is trained using non-randomized training data. Since certain types of machine-learned models, such as those involving deep learning (e.g., neural networks) require a lot of training data, this allows the bulk of the training to be devoted to training using non-randomized training data. However, since this non-randomized training data may be biased, a second training phase is then used to revise the machine-learned model based on randomized training data to remove the bias from the machine-learned model. Since this randomized training data may be less plentiful, this allows the deep learning machine-learned model to be trained to operate in an unbiased manner without the need to generate additional randomized training data.