Abstract: Cloning and use of an Arachis hypogaea L. flowering habit gene AhFH1 and allelic variants thereof are provided. Through experiments, the Arachis hypogaea L. flowering habit gene AhFH1 and two defunctionalized allelic variants thereof are determined. The defunctionalized allelic variants can cause the change from alternate flowering Arachis hypogaea L. to continuous flowering Arachis hypogaea L. Through overexpression of the gene AhFH1 or supplementary expression of a promoter of the gene itself, a continuous flowering Arachis hypogaea L. variety can be changed into alternate flowering Arachis hypogaea L.; and through knockout or expression suppression of the gene AhFH1, alternate flowering Arachis hypogaea L. can be changed into continuous flowering Arachis hypogaea L. Marker-assisted selection (MAS) breeding is realized for allelic variants of the gene using molecular markers.

Abstract: The present disclosure discloses an information storage method performed at a server.

Abstract: Articles and methods related to passivation layers on alkali metals are generally described.

Abstract: Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

Abstract: A loop closure detection method, a mobile device, and a computer readable storage medium are provided. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Abstract: A cooperative driving system includes a processor and a memory having one or more modules. The modules cause the processor to determine a route that includes a road segment to a destination for an ego vehicle based on (1) an ego vehicle operating parameter that has information regarding a preferred operation of an ego vehicle by an occupant, and (2) a location of a like vehicle with respect to the ego vehicle when the ego vehicle is traveling on at least a portion of the route. The one or more modules also cause the processor to determine a road-segment-level decision for the ego vehicle for the road segment based on the ego vehicle operating parameter, communicate with the like vehicle near the road segment to negotiate the road-segment-level decision to generate a negotiated road-segment-level decision, and maneuver the ego vehicle inside the road segment using the negotiated road-segment-level decision.

Abstract: A video comparison method includes: obtaining a first video and a second video; obtaining a first image sequence from the first video, and obtaining a second image sequence from the second video; extracting a first definition feature vector of the first image sequence by using a first feature extraction mechanism of a video comparison model; extracting a second definition feature vector of the second image sequence by using a second feature extraction mechanism of the video comparison model, the first feature extraction mechanism being the same as the second feature extraction mechanism; and determining a definition difference between the first video and the second video based on the first definition feature vector and the second definition feature vector by using a definition difference analysis mechanism of the video comparison model.

Abstract: A data detection method and device, a storage medium and a touch device are provided. The data detection method includes: collecting a plurality of initial detection values corresponding to a same touch point; comparing the plurality of initial detection values with a dynamic threshold of the touch point, and retaining the initial detection values which meet requirements as detection retention values; and adjusting the dynamic threshold of the touch point according to the detection retention values, wherein the adjusted dynamic threshold is used for comparing with the initial detection value corresponding to the touch point which is collected subsequently. The data detection method may adjust the dynamic threshold for touch points, and overcome an influence of environmental factors leading to a false detection.

Abstract: Disclosed are an Ethernet interconnection circuit and apparatus. A physical interface exchanger of the circuit has a first physical interface, a second physical interface and a third physical interface, wherein a first board-level processor realizes communication between the first board-level processor and an external Ethernet by means of the first physical interface, the third physical interface, and a network interface connected to the third physical interface; a second board-level processor realizes communication between the second board-level processor and the external Ethernet by means of the second physical interface, the third physical interface, and the network interface connected to the third physical interface; and the first-board-level processor and the second-board-level processor realize communication between the first board-level processor and the second-board-level processor by means of the first physical interface and the second physical interface.

Abstract: A method for tracking a non-connected vehicle is provided. The method includes obtaining one or more features of the non-connected vehicle, assigning an ID to the non-connected vehicle, the ID including information about the one or more features of the non-connected vehicle, predicting one or more locations of the non-connected vehicle in response to the non-connected vehicle being out of a field of view of a connected vehicle at a first location, identifying a vehicle at a second location, the second location corresponding to one of the predicted one or more locations, and determining whether the identified vehicle at the second location corresponds to the non-connected vehicle based on a comparison of one or more features of the identified vehicle and the ID.

Abstract: A stylus (100), a touch panel (200), a display device and a touch sensing method are provided. The stylus (100) includes: a first emitting electrode (12); a second emitting electrode (13), wherein a distance between the first emitting electrode (12) and the second emitting electrode (13) in an extension direction of the stylus (100) is greater than zero; and an emitting circuit (11), which is connected to the first emitting electrode (12) and the second emitting electrode (13), respectively. The emitting circuit (11) is used to emit a first electrical signal outwards through the first emitting electrode (12) and to emit a second electrical signal outwards through the second emitting electrode (13), so that the touch panel (200) determines a tilt angle (A1) of the stylus (100) relative to the touch panel (200) according to the received first and second electrical signals.

Abstract: The present invention provides a health file access control system and method in an electronic medical cloud. The system comprises: a medical management center unit configured to generate a system public key and a system private key, and generate a private key for corresponding utilizer's attributes according to the system public key, the system private key, and a set of utilizer's attributes; an electronic medical cloud storage unit configured to receive and store a privacy-protected health file ciphertext; and at least one health file user access unit configured to encrypt the health file according to the system public key to obtain the privacy-protected health file ciphertext, and/or generate the set of utilizer's attribute, and decrypt the privacy-protected health file ciphertext according to the system public key and the private key for utilizer's attributes.

Abstract: A touch display device and a method for touch detection are provided. The touch display device is formed by at least two spliced touch screens, and includes an obtaining module, configured to acquire report data of at least one touch screen of the touch display device, where the report data is generated by the at least one touch screen when the at least one touch screen is touched by a user; and a processing module, configured to perform coordinate conversion according to a splicing state and the report data of the touch screen sending the report data, to obtain at least one output coordinate corresponding to an entire display area of the touch display device.

Abstract: The present disclosure relates to a display panel, a display apparatus and a display device, and relates to the field of display technology. The display panel of the present disclosure includes a display area, the display area includes an edge area and a central area distributed along a row direction; the display area has a plurality of pixel areas distributed in an array in the central area and the edge area, each of the pixel areas being provided with a plurality of sub-pixels, wherein the pixel area in the central area is a first pixel area, and the sub-pixels in the first pixel area are first sub-pixels; the pixel area in the edge area is a second pixel area, and the sub-pixels in the second pixel area are second sub-pixels.

Abstract: This application provides an optical combiner and a related device for augmented reality. The optical combiner includes a transparent substrate and a metasurface layer. The metasurface layer is disposed on a surface of the transparent substrate. The metasurface layer includes a plurality of metasurface units arranged two-dimensionally. A spacing between two adjacent metasurface units in the plurality of metasurface units gradually changes along one or two dimensions, and a relative angle between any two adjacent metasurface units is not zero. The optical combiner can increase an ambient light transmittance and increase uniformity and a field of view of an image.

Abstract: Embodiments of this application relate to a digital certificate management method performed at a computer device. The method includes: receiving a digital certificate generation request submitted by a certificate application node; transmitting identification information to consensus authentication centers for certification to obtain certification results obtained by the consensus authentication centers from performing the certification according to the identification information; determining an identification result corresponding to the certificate application node according to the certification results of the consensus authentication centers; generating, when the certification succeeds, a target digital certificate corresponding to the certificate application node submitting the digital certificate generation request; and writing the target digital certificate as a transaction resource into a blockchain associated with the consensus authentication centers.

Abstract: The present disclosure relates to a display panel, a display apparatus and a display device, and relates to the field of display technology. The display panel of the present disclosure includes a display area, the display area includes an edge area and a central area distributed along a row direction; the display area has a plurality of pixel areas distributed in an array in the central area and the edge area, each of the pixel areas being provided with a plurality of sub-pixels, wherein the pixel area in the central area is a first pixel area, and the sub-pixels in the first pixel area are first sub-pixels; the pixel area in the edge area is a second pixel area, and the sub-pixels in the second pixel area are second sub-pixels.

Abstract: A relocation method and a mobile machine using the same are provided. The method includes: obtaining a global map and a current scan map of a target scene where a mobile machine is located, and generating a local sub-map based on the global map; obtaining a black boundary in the local sub-map, determining a length and a curve complexity of the black boundary, and determining a weight of the black boundary based on the length and the curve complexity of the black boundary; determining an estimated pose and a target black boundary based on the local sub-map and the current scan image, and obtaining a matching value between the current scan image and the local sub-map based on a weight of the target black boundary; and determining the estimated pose as a relocated pose of the mobile machine in response to the matching value being larger than a preset threshold.

Abstract: The present invention provides a semantic model instantiation method, system and apparatus, including the following steps: S1, receiving an ontology-based semantic model, parsing the semantic model and converting the semantic model into a characteristic vector set, where the characteristic vectors represent the classes and attributes of an ontology and a relation between the attributes; S3, importing a semi-structured file, and converting the semi-structured file into a key word vector based on a semantic vector of the semantic model; and S4, comparing a correlation between the semantic vector and the key word vector, and identifying a key word vector corresponding to the semantic vector. The present invention can greatly reduce workload and expense for constructing a knowledge graph, and thus accelerates knowledge-based convenient service.

Abstract: Systems and methods for providing driving recommendations are disclosed herein. One embodiment receives, at an ego vehicle, first vehicle data and first encoded information from one or more other vehicles; constructs, from the first vehicle data, graph data representing how the ego vehicle and the one or more other vehicles are spatially related; inputs the graph data, the first vehicle data, second vehicle data pertaining to the ego vehicle, and the first encoded information to a graph convolutional network that outputs second encoded information; inputs the second encoded information and previously stored encoded information to a recurrent neural network that outputs a set of parameters to a mixture model; predicts acceleration of the one or more other vehicles using the mixture model; and generates a driving recommendation for the ego vehicle based, at least in part, on the predicted acceleration of the one or more other vehicles.