Abstract: Certain aspects of the present disclosure provide techniques for communicating a dynamically scheduled transmission that overwrites a transmission in a semi-static scheduling occasion. A method performed by a user equipment (UE) includes receiving a first control message, activating a first semi-static scheduling configuration and a second semi-static scheduling configuration for full duplex communication, wherein: the first semi-static scheduling configuration comprises a semi-persistent scheduling (SPS) occasion and the second semi-static scheduling configuration comprises a configured grant (CG) occasion. The method may further include receiving a second control message dynamically scheduling a transmission that overwrites a downlink transmission in the SPS occasion or an uplink transmission in the CG occasion and taking one or more actions to communicate at least the transmission that overwrites the downlink transmission in the SPS occasion or the uplink transmission in the CG occasion.

Abstract: The present disclosure relates to a latch-up test structure, including: a substrate of a first conductive type; a first well region of a second conductive type, located in the substrate of the first conductive type; a first doped region of the first conductive type, located in the first well region of the second conductive type; a first doped region of the second conductive type, located in the first well region of the second conductive type; and a second doped region of the first conductive type, a second doped region of the second conductive type, a third doped region of the first conductive type, and a third doped region of the second conductive type that are arranged at intervals in the substrate of the first conductive type.

Abstract: A meter monitoring system (200) includes: a wireless gateway (202), a monitoring device (201), and at least one meter recognition apparatus (100). The meter recognition apparatus (100) includes: an image acquirer (1), a processor (2), and a wireless transceiver (3). The image acquirer (1) is configured to acquire images of a display side of a monitoring meter (4) at set time intervals. The processor (2) is coupled to the image acquirer (1) and configured to determine, according to an image of the images acquired by the image acquirer (1) and based on an image processing algorithm, monitoring data displayed by the monitoring meter (4). The wireless transceiver (3) is coupled to the processor (2) and configured to send the monitoring data determined by the processor (2) to the wireless gateway (202). The wireless gateway (202) is configured to transmit the received monitoring data to the monitoring device (201).

Abstract: A durable nylon zip fastener is formed from a pull and two chains. A chain is formed from chain teeth joined to a cloth tape by means of sewing thread. The pull comprises an upper wing plate and a lower wing plate, the upper wing plate and the lower wing plate being connected together by means of a support core therebetween, forming an accommodation cavity permitting the chains to pass through. The accommodation cavity is provided with two guide inlet openings near a support core end, used to guide in each of the two chains. Another end of the accommodation chamber is provided with a meshing exit opening, used to guide out the two meshed chains. The upper wing plate comprises an upper plate body holding the chain teeth from above and an upper flange part holding the chain teeth from two sides.

Abstract: This application relates to a machine learning model training method and apparatus, and an expression image classification method and apparatus. The machine learning model training method includes: obtaining a machine learning model that includes a model parameter and that is obtained through training according to a general-purpose image training set; determining a sample of a special-purpose image and a corresponding classification label; inputting the sample of the special-purpose image to the machine learning model, to obtain an intermediate classification result; and adjusting the model parameter of the machine learning model according to a difference between the intermediate classification result and the classification label, continuing training, and ending the training in a case that a training stop condition is met. The solutions provided in this application improve the training efficiency of the machine learning model.

Abstract: The present application relates to a composite binding agent grinding wheel, wherein a weight percentage of each raw material of the grinding wheel is: 45-65% of pretreatment abrasive, 8-20% of resin bonding agent, 5-12% of hexagonal boron nitride, 5-10% of silicon dioxide, 5-15% of ceramic powder, 6-12% of prealloy powder bonding agent, and 1-3% of boron powder. The composite binding agent super-hard grinding wheel prepared by the present application can achieve nano-level grinding surface quality when grinding epitaxial wafers, and the grinding wheel has strong self-sharpening and high sharpness. It has obvious advantages in the finishing of silicon carbide crystal epitaxial wafers, which can solve the current limitations of back thinning processing of silicon carbide crystal epitaxial wafers.

Abstract: An augmented reality (AR) application authoring system is disclosed. The AR application authoring system enables the real-time creation of freehand interactive AR applications with freehand inputs. The AR application authoring system enables intuitive authoring of customized freehand gesture inputs through embodied demonstration while using the surrounding environment as a contextual reference. A visual programming interface is provided with which users can define freehand interactions by matching the freehand gestures with reactions of virtual AR assets. Thus, users can create personalized freehand interactions through simple trigger-action programming logic. Further, with the support of a real-time hand gesture detection algorithm, users can seamlessly test and iterate on the authored AR experience.

Abstract: Various embodiments may relate to an optical system. The optical system may include a lens structure configured to generate an outgoing Gaussian beam based on an incoming Gaussian beam. The optical system may also include a light source configured to provide the incoming Gaussian beam to the lens structure. The lens structure may be a flat lens or a phase plate.

Abstract: The present disclosure presents blockchain-based cyber security management systems and related methods. One such method comprises obtaining cyber intelligence input data from a cyber defender computing device, wherein the cyber defender computing device manages network security of a network, wherein the cyber intelligence input data identifies a cyber attacker or a victim of a cyber attack on the network; executing one or more Cyber Security Management (CSM) functions with the cyber intelligence input data received from the cyber defender computing device and cyber data stored in the blockchain ledger, wherein the cyber data stored in the blockchain ledger provides details on a cyber attack on a network that is managed by another cyber defender computing device; and outputting an alert to the cyber defender computing device with a potential cyber attacker or potential victim of the cyber attack on the network managed by the cyber defender computing device.

Abstract: Various embodiments of a physical instrument are described herein. The physical instrument comprises a reference array platform having a top surface and a bottom surface. A reference array including one or more different fiducial markers is disposed on the top surface of the reference array platform. The reference array platform may have a bent physical configuration or a tilted physical configuration. An adhesive layer is disposed on the bottom surface of the reference array platform.

Abstract: The present application provides an action recognition method and apparatus and an electronic device. The method includes: if a target object is detected from a video frame, acquiring a plurality of images containing the target object, and optical-flow images of the plurality of images; extracting an object trajectory feature of the target object from the plurality of images, and extracting an optical-flow trajectory feature of the target object from the optical-flow images of the plurality of images; and according to the object trajectory feature and the optical-flow trajectory feature, recognizing a type of an action of the target object. Because it combines the time-feature information and the spatial-feature information of the target object, effectively increases the accuracy of the detection and recognition on the action type, and may take into consideration the detection efficiency at the same time, thereby improving the overall detection performance.

Abstract: A message processing method and device, a storage medium, and an electronic device are provided. The method includes: acquiring a first message sent by an Ingress Process Engine (IPE) of a switch, and acquiring a second message sent by an Egress Process Engine (EPE) of the switch, a header of the first message includes data collected by an Inband Network Telemetry (INT), and the first message is the same as the second message; identifying the first message and the second message as a same message stream according to key information of a message header; and combining and reorganizing the first message and the second message identified as the same message stream into an INT report, and sending the INT report to a target device. The problem in the related art that network state monitoring at a protocol layer consumes a large amount of network bandwidth is solved.

Abstract: This invention is directed to, inter alia, compositions and methods for restoring normal microRNA (miR) expression in chondrosarcoma cells as well as methods for treating and diagnosing chondrosarcoma in individuals in need thereof.

Abstract: The application disclose an autonomous-driving-based control method performed by a computer device. The method includes: acquiring scene information of a target vehicle; determining a current lane changing scene type of the target vehicle according to the scene information; recognizing, when the current lane changing scene type is a mandatory lane changing scene type, a first lane for completing a navigation travel route, and, when the first lane satisfies a lane changing safety check condition, controlling the target vehicle to perform lane changing operation according to the first lane. The second lane for optimizing the travel time is recognized according to the scene information when the current lane changing scene type is the free lane changing scene type. When the second lane satisfies the lane changing safety check condition, the target vehicle is controlled to perform lane changing operation according to the second lane.

Abstract: This application provides a communication method in a dual-connectivity mode. In the communication method, maximum transmit power used by a terminal device to send a message corresponding to a main network protocol in a semi-persistent power sharing mode is maximum transmit power 2, maximum transmit power used by the terminal device to send a message corresponding to a secondary network protocol is maximum transmit power 3, the maximum transmit power 2 is less than theoretical maximum transmit power corresponding to the main network protocol, and the maximum transmit power 3 is greater than the theoretical maximum transmit power corresponding to the main network protocol.

Abstract: In an example of the disclosure, a web media is advanced through a printer during a printing operation, Tractor-feed holes in a tractor-feed lane of the web media are detected utilizing a sensor and counted as the web media advances. When the count of tractor-feed holes reaches a target tractor-feed hole n, a fiducial detection period is started wherein a sensor is utilized to detect a fiducial. A printing adjustment is determined based upon a time or time period that the fiducial is detected during the fiducial detection period.

Abstract: Embodiments of the invention are directed to automatically capturing user interface screenshots for use in documentation of a software product. Aspects include identifying a user interface window of the software product and creating a degree-of-completion graph for the user interface window. Aspects also include capturing a plurality of screenshots of the user interface window during use of the software product and calculating a degree-of-completion percentage for each of the plurality of screenshots. Aspects further include identifying a subset of the plurality of screenshots to be included in the software product documentation based on the degree-of-completion percentage.

Abstract: Chemical entities that are kinase inhibitors, pharmaceutical compositions and methods of treatment of cancer are described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for fast user enrollment for facial recognition using face clustering. One of the methods includes identifying, from a set of face images of faces, clusters of face images, where the clusters of face images include a particular cluster; receiving, from a device, an indication that the particular cluster includes a first subcluster of face images that depict a first person and a second subcluster of face images that depict a second person; in response to receiving the indication, determining that a number of face images in the first subcluster of face images that depict the first person does not satisfy an enrollment criteria; identifying another cluster of face images that depict the first person; and enrolling, in a facial recognition database, the first person using the other cluster of face images.

Abstract: A base station may identify a configuration of one or more time gap periods associated with FD beam pair quality measurement. The base station may transmit, to the UE, and the UE may receive, from the base station, an indication of the configuration of the one or more time gap periods associated with FD beam pair quality measurement. The UE may perform, during the one or more time gap periods, one or more measurements of a quality of one or more FD beam pairs. Each of the one or more FD beam pairs may include an uplink beam and a downlink beam. The UE may identify at least one failed FD beam pair in the one or more FD beam pairs based on the one or more measurements of the quality of the one or more FD beam pairs and an SI measurement.