Abstract: The disclosure relates to the battery field and a PEO film, a preparation method thereof, and a solid-state battery are provided. A molecular structure of the PEO film includes a structural unit B, and the structural unit B includes —CH?CH—O—.

Abstract: Cable assemblies for providing electrical communication between hinged sections of an electronic device are described. The cable assemblies can include a cover that covers one or more cables that run through a hinge region of the electronic device. The cable and cover can be drawn over a mandrel of the hinge region. The cover and the portions of the mandrel can be visible to a user at the hinge region of the electronic device. The cover can be sufficiently rigid to guide a path of the cable and protect the cable from bending beyond a prescribed angle during rotation of the electronic device at the hinge region. The cover can also be sufficiently rigid to prevent ceasing or folding of the cover and the cable during rotation of the electronic device at the hinge region.

Abstract: Disclosed herein is an apparatus comprising an electrode active layer comprising a network of high aspect ratio carbon elements defining void spaces within the network; a plurality of electrode active material particles disposed in the void spaces within the network and enmeshed in the network; and a surface treatment on the surface of the high aspect ratio carbon elements which promotes adhesion between the high aspect ratio carbon elements and the active material particles.

Abstract: Implementations are described herein for leveraging an agricultural knowledge graph to generate messages automatically. In various implementations, an agricultural event may trigger proactive performance of one or more of the following operations. Nodes of the agricultural knowledge graph may be identified as related to the agricultural event, including field node(s) representing subject agricultural field(s) to which the agricultural event is relevant and other node(s) connected to one or more of the field nodes by edge(s). Machine learning model(s) may be accessed based on the identified nodes and/or the edges that connect the identified nodes. Data relevant to the subject agricultural field(s) may be retrieved from data source(s) controlled by an agricultural entity and processed based on the machine learning model(s) to generate inference(s) about the subject agricultural field(s).

Abstract: Some embodiments of the disclosure provide an air intake bypass recirculation structure with adjustable air entraining amount and controllable broadband noise which includes main body of the air intake bypass recirculation structure and an air entraining amount adjusting structure. In some examples, an air intake bypass recirculation cavity is formed in the main body of the air intake bypass recirculation structure. An air inlet of an air intake pipe and an air outlet of the air intake pipe are formed in two ends of the main body of the air intake bypass recirculation structure respectively. An airflow inlet of the air intake bypass recirculation structure and an airflow outlet of the air intake bypass recirculation structure are formed in the inner side of the main body of the air intake bypass recirculation structure. The air entraining amount adjusting structure is arranged in the air intake bypass recirculation cavity.

Abstract: Provided are a traditional Chinese medicine ointment for preventing and treating mastitis in dairy cows and a preparation method thereof, belonging to the technical field of veterinary traditional Chinese medicines. The traditional Chinese medicine ointment includes raw materials in parts by mass: 20-30 parts of dandelion, 20-30 parts of herba patriniae, 10-16 parts of Caulis Lonicerae Japonicae, 0.5-1 part of borneol, 0.03-0.05 part of polypeptide, 40-50 parts of auxiliary emulsifier, 40-50 parts of liquid paraffin and 100-130 parts of white vaseline. An amino acid sequence of the polypeptide is: Phe Phe Arg Lys Val Leu Lys Leu Ile Arg Lys Ile Trp Arg (SEQ ID NO. 1). In the application, dandelion, herba patriniae, Caulis Lonicerae Japonicae and borneol 1 are mixed, and polypeptide is added at the same time to prepare ointment.

Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.

Abstract: A method and a sensor for detecting L-cystine are disclosed. The method is implemented by assembling a sodium 3,3?-dithiodipropane sulfonate (SPS) membrane on a surface of Au membrane layer of an Au electrode and using an extended gate of field effect transistor (FET) and in-situ signal amplification of the FET to detect L-cystine sensitively. The polyanion of the SPS membrane adsorbs and binds a positively charged target L-cystine through electrostatic interaction, thus forming an electric double layer structure to generate a membrane potential identifying a monovalent organic ammonium ion. The sensor includes the FET, wherein a gate-extended gold electrode is arranged on the FET, and the SPS membrane is assembled on the surface of the Au membrane layer of the gate-extended gold electrode. The sensor has an excellent Nernst response to L-cystine.

Abstract: A processor device has a CPU cooperating with an input device and an output device, under control of stored instructions, and is arranged to receive service requests at the input device, assign service requests received in successive time periods to respective batches of requests; access stored service provider data to identify available service providers from among a pool of service providers; after completing the assignment of service requests to a batch, perform a matching process to endeavour to match each service request of the batch of requests to a service provider; and for each service provider to whom a match is made, output a notification of the respective potential match from the output device.

Abstract: Implementations are described herein for integrating phenotyping machine learning (ML) models with an agricultural knowledge graph (AKG) to facilitate streamlined and flexible phenotypic inferences. In various implementations, the AKG may be traversed based on input including image(s) of crops growing in an agricultural plot until a destination node is reached. The AKG may include a phenotypic taxonomy of nodes representing a taxonomic hierarchy of organisms, with the destination node corresponding to a level of the phenotypic taxonomy that is commensurate in scope with the input. The phenotypic taxonomy of nodes may provide access to a corresponding taxonomy of phenotyping ML models, each trained to generate phenotypic inference(s) at a specificity that corresponds to a level of the phenotypic taxonomy. The crop image(s) may be processed using the phenotyping ML model that is accessible via the destination node to generate phenotypic inference(s) about the agricultural plot.

Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.

Abstract: System and method for measuring path loss of a conductive radio frequency (RF) signal path used in testing a RF data signal transceiver device under test (DUT) with a RF vector signal transceiver. A path loss measurement may be performed by initially leaving an open connection at the RF signal path end normally connected to the DUT during DUT testing. Sourcing the RF test signal with the RF vector signal transceiver at multiple test frequencies avoids need for additional testing with shorted and loaded connections at the RF signal path end.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex that is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.

Abstract: A system and method for using a wireless radio frequency (RF) data packet signaling link to enable non-link control of testing of a data packet signal transceiver device under test (DUT) in which a communication session between a tester and a DUT for purposes of testing the DUT may first be initiated by a separate, commonly available, and lower cost, communication device. Following its establishment, the tester may monitor the communication session, e.g., via wireless signal sniffing, to acquire and use associated device identification information to join the session and transmit trigger based test (TBT) data packets for initiating a test sequence within the DUT. Hence, use of a non-link capable tester to perform parametric testing of a DUT at the lowest network architecture layer, e.g., the physical (PHY) layer, may be enabled.

Abstract: An example process determines a first error vector magnitude (EVM) of a signal output by a device under test (DUT). The process includes adding attenuation on a signal path between the DUT and a vector signal analyzer (VSA), where the attenuation is changeable: measuring, at the VSA, at least two second EVMs for different values of attenuation of the signal output by the DUT, where the at least two second EVMs are corrupted by noise from the VSA, and where each of the at least two second EVMs is based on two or more measurements; and determining the first EVM based on a linear relationship that is based on the first EVM, the at least two second EVMs, and a function based on the attenuation, where the first EVM is without at least some of the noise from the VSA.

Abstract: An example process determines a first error vector magnitude (EVM) of a signal output by a device under test (DUT). The process includes adding attenuation on a signal path between the DUT and a vector signal analyzer (VSA), where the attenuation is changeable: measuring, at the VSA, at least two second EVMs for different values of attenuation of the signal output by the DUT, where the at least two second EVMs are corrupted by noise from the VSA, and where each of the at least two second EVMs is based on two or more measurements; and determining the first EVM based on a linear relationship that is based on the first EVM, the at least two second EVMs, and a function based on the attenuation, where the first EVM is without at least some of the noise from the VSA.

Abstract: A shape generation system can generate a three-dimensional (3D) model of an object from a two-dimensional (2D) image of the object by projecting vectors onto light cones created from the 2D image. The projected vectors can be used to more accurately create the 3D model of the object based on image element (e.g., pixel) values of the image.

Abstract: Embodiments of this application disclose a recommendation method. The method in embodiments of this application is applied to a scenario in which an item is recommended to a user, for example, movie recommendation or game recommendation. The method in embodiments of this application includes: obtaining a knowledge graph, where the knowledge graph includes a plurality of first entities indicating items and a plurality of second entities indicating item attributes; and running a neural network based on the knowledge graph and information of the user, to obtain a recommendation result. The neural network is used to perform computing based on at least one first direction and at least one second direction in the knowledge graph to obtain the recommendation result.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for synthesizing a realistic image with a new expression of a face in an input image by receiving an input image comprising a face having a first expression; obtaining a target expression for the face; and extracting a texture of the face and a shape of the face. The program and method for generating, based on the extracted texture of the face, a target texture corresponding to the obtained target expression using a first machine learning technique; generating, based on the extracted shape of the face, a target shape corresponding to the obtained target expression using a second machine learning technique; and combining the generated target texture and generated target shape into an output image comprising the face having a second expression corresponding to the obtained target expression.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex that is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.