Abstract: A compound of the general formula: (i) wherein x has a value greater than 0.06 and equal to or less than 0.4. The compound is also formulated into a positive electrode for use in an electrochemical cell.

Abstract: Embodiments of this application disclose an intelligent electric appliance and a control method. The intelligent electric appliance includes: a first controller, where the first controller is configured to: receive a first instruction of a user, and convert the first instruction into a second instruction; and a second controller, where the second controller is connected to the first controller by using a communication interface. The first controller is further configured to send the second instruction to the second controller by using the communication interface, where the second controller is configured to control, based on the second instruction, the intelligent electric appliance to run. The first controller is configured to be independently upgraded when the intelligent electric appliance is connected to a network.

Abstract: The present invention relates to a composite comprising (1) a bottom layer comprising expanded thermoplastic elastomer particles; and (2) a surface layer on the bottom layer, and the use of such composites in flooring surfaces sports, sports hall floorings, swimming pool hall floorings, running tracks, sports facilities, playgrounds, kindergartens, park walkway and pavements.

Abstract: To improve the accuracy and efficiency of object detection through computer digital image analysis, the detection of some objects can inform the sub-portion of the digital image to which subsequent computer digital image analysis is directed to detect other objects. In such a manner object detection can be made more efficient by limiting the image area of a digital image that is analyzed. Such efficiencies can represent both computational efficiencies and communicational efficiencies arising due to the smaller quantity of digital image data that is analyzed. Additionally, the detection of some objects can render the detection of other objects more accurate by adjusting confidence thresholds based on the detection of those related objects. Relationships between objects can be utilized to inform both the image area on which subsequent object detection is performed and the confidence level of such subsequent object detection.

Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.

Abstract: A method for environment-specific training of a machine learning model, comprises receiving, for a local environment, a data stream including a plurality of sequential data snippets. Programmed labels are generated for each data snippet using a student version of a machine learning model. A portion of data snippets and associated programmed labels are selected and uploaded to a server-side computing device for evaluation by a teacher version of the machine learning model. An environment-specific training update is received from the server-side computing device. This training update is based on a comparison of the selected programmed labels and pseudolabels generated for the selected portion of data snippets by the teacher version. The environment-specific training update is applied to the student version to generate an updated student version. The updated student version of the machine learning model is then used to generate programmed labels for newly received data snippets.

Abstract: An organic-electrolyte lithium-oxygen battery with a full-enclosed structure and a preparation method thereof are disclosed. In the present disclosure, a lithium-oxygen battery unit is enclosed in a shell containing pure oxygen, and the reactant oxygen is recycled without additional supply. Among them, a part of oxygen is stored in the form of lithium peroxide by pre-discharging. When in use, a charging is firstly performed to decompose the lithium peroxide to release the fixed oxygen.

Abstract: The disclosure relates generally to a method, device, and system for creating a searchable data store with an infinite retention period for streaming documents. In an embodiment, a method of storing data includes receiving an incoming stream of time-series data; storing the time-series data of the incoming data stream in a first segment; and closing the first segment in response to a resource consumption limit of the first segment being reached.

Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.

Abstract: The present application provides a method and a network device for identifying a type of a wireless hotspot. The method comprises: in response to receiving a type determination request for a first wireless hotspot, obtaining information of the first wireless hotspot, wherein the type determination request is configured to request that a type of the first wireless hotspot be provided; searching for a second wireless hotspot which is identical or similar to the first wireless hotspot based on the information of the first wireless hotspot and information of multiple second wireless hotspots in a preset set of hotspots, wherein a type of the second wireless hotspot is an open wireless hotspot with authentication required; and in response to locating a second wireless hotspot which is identical or similar to the first wireless hotspot, identifying the type of the first wireless hotspot as an open wireless hotspot with authentication required.

Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.

Abstract: A biosensor for detecting light signals emitted by a biological material is provided. The biosensor includes a light signal detector which comprises an array of light sensor pixels. The biosensor further includes a light signal filter layer disposed on a surface of the light sensor pixel array, a metal nanometer light focusing unit array layer, a grating array layer which comprises micro-gratings, and a biological material sample bearing area which comprises a plurality of sample gathering units. Each sample gathering unit aligns with one micro-grating and one metal nanometer light focusing unit in the vertical direction, and at least one of the light sensor pixels.

Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.

Abstract: The present disclosure relates to a novel sp2-sp3 hybrid crystalline boron nitride and its preparation process. A novel sp2-sp3 hybrid crystalline boron nitride allotrope, named Gradia BN, is synthesized using sp2 or sp3 hybridized boron nitride as raw materials under high-temperature and high-pressure. The basic structural units of Gradia BN are composed of sp2 hybridized graphite-like structural units and sp3 hybridized diamond-like structural units. Gradia BN disclosed in the present disclosure is a class of new sp2-sp3 hybrid boron nitride allotrope, whose crystal structure can vary with the widths and/or crystallographic orientation relationships of internal sp2 and/or sp3 structural units, and may have variable physical properties.

Abstract: A display module and the manufacturing method of the same, which are able to eliminate the attachment mark between the supporting assembly and the display panel, are provided. The display module includes a display panel; a supporting assembly, configured to support the display panel; an adhesive layer, configured to attach the supporting assembly to a non-display surface of the display panel; and an optical filter layer being on a side of the adhesive layer distal to the supporting assembly, and an orthographic projection of the optical filter layer on the supporting assembly covers an orthographic projection of the adhesive layer on the supporting assembly.

Abstract: The present application provides a method and a network device for identifying a type of a wireless hotspot. The method comprises: in response to receiving a type determination request for a first wireless hotspot, obtaining information of the first wireless hotspot, wherein the type determination request is configured to request that a type of the first wireless hotspot be provided; searching for a second wireless hotspot which is identical or similar to the first wireless hotspot based on the information of the first wireless hotspot and information of multiple second wireless hotspots in a preset set of hotspots, wherein a type of the second wireless hotspot is an open wireless hotspot with authentication required; and in response to locating a second wireless hotspot which is identical or similar to the first wireless hotspot, identifying the type of the first wireless hotspot as an open wireless hotspot with authentication required.

Abstract: The present invention relates to a composite comprising (1) a bottom layer comprising expanded thermoplastic elastomer particles; and (2) a surface layer on the bottom layer, and the use of such composites in flooring surfaces sports, sports hall floorings, swimming pool hall floorings, running tracks, sports facilities, playgrounds, kindergartens, park walkway and pavements

Abstract: The present disclosure belongs to the technical filed of new carbon materials and relates to a novel sp2-sp3 hybrid crystalline carbon named Gradia and its preparation process. A novel sp2-sp3 hybrid carbon named Gradia is synthesized using sp2 hybrid carbon as raw materials under high temperature and high pressure. The basic structural units of Gradia are composed of sp2 hybrid graphite-like structural units and sp3 hybrid diamond-like structural units. Gradia disclosed in the present disclosure is a class of new sp2-sp3 hybrid carbon allotrope, whose crystal structure can vary with the widths and/or crystallographic orientation relationships of internal sp2 and/or sp3 structural units.

Abstract: Use of nickel in a cathode material of the general formula Li (4/3-2x/3-y/3-z/3)NixCoyAlzMn(2/3-x/3-2y/3-2z/3)02 wherein x is greater than 0.06 and equal to or less than 0.4; y is equal to or greater than 0 and equal to or less than 0.4; and z is equal to or greater than 0 and equal to or less than 0.05 for suppressing gas evolution during a charge cycle and/or increasing the charge capacity of the material.

Abstract: A compound of the general formula: (i) wherein x has a value greater than 0.06 and equal to or less than 0.4. The compound is also formulated into a positive electrode for use in an electrochemical cell.