Abstract: The present disclosure provides a display panel and a display device. The display panel includes a thin film transistor; and further includes a substrate; a first metal layer disposed on the substrate and including a gate of the thin film transistor; an active layer disposed on a side of the first metal layer away from the substrate and including an active portion of the thin film transistor; a spacer layer disposed on a side of the active layer away from the first metal layer and including a plurality of contact holes; a second metal layer disposed on a side of the spacer layer away from the active layer and including a source and a drain of the thin film transistor; an orthographic projection of the gate electrode on the substrate covers an orthographic projection of at least part of the contact holes on the substrate.

Abstract: A method and system for detecting road intelligent compaction index, so as to solve the problem of inaccurate use of a road intelligent compaction index due to the fact that existing harmonic ratio indexes do not consider the influence of a non-integral period on the accuracy and also do not consider a higher harmonic. According to the disclosure, a relative relationship between amplitudes of the higher harmonic and a fundamental wave in an acceleration time domain signal is considered based on the related art, the amplitude of the higher harmonic is introduced into a main body road intelligent compaction index of an road intelligent compaction index, and a precondition for the use of the road intelligent compaction index of the main body is established, that is, a machine-material decoupling control the machine-material decoupling control index.

Abstract: A backlight module, a displaying module and a displaying device are provided by the present application. The backlight module includes: a back panel, wherein the back panel includes a bottom panel and a plurality of side panels that are connected to an edge of the bottom panel and are bent toward one side, and the plurality of side panels cooperate with the bottom panel to enclose an assembling space; a light emitting baseboard, wherein the light emitting baseboard is located inside the assembling space and fixed on the bottom panel, the light emitting baseboard includes a substrate fixedly connected to the bottom panel and a light emitting unit located at one side of the substrate away from the bottom panel, the substrate is divided into a functional region and an edge region surrounding the functional region, and the light emitting unit is located within the functional region.

Abstract: The disclosure discloses a method and system for detecting road intelligent compaction index, so as to solve the problem of inaccurate use of a road intelligent compaction index due to the fact that existing harmonic ratio indexes do not consider the influence of a non-integral period on the accuracy and also do not consider a higher harmonic. According to the disclosure, a relative relationship between amplitudes of the higher harmonic and a fundamental wave in an acceleration time domain signal is considered based on the related art, the amplitude of the higher harmonic is introduced into a main body road intelligent compaction index of an road intelligent compaction index, and a precondition for the use of the road intelligent compaction index of the main body is established, that is, a machine-material decoupling control the machine-material decoupling control index.

Abstract: An upgrade method includes: An OTA cloud receives vehicle fleet information from a first device, where the first device is configured to manage a vehicle fleet, the vehicle fleet includes at least two vehicles, and the vehicle fleet information includes vehicle identifiers of vehicles belonging to a same vehicle fleet; and the OTA cloud sends first upgrade task information to a second target vehicle, where the first upgrade task information includes an upgrade package, the second target vehicle is at least one vehicle determined by the first device from a first target vehicle, the first target vehicle is related to the vehicle fleet information and a first vehicle, and the first vehicle is a vehicle that needs upgrade and that is obtained by the OTA cloud.

Abstract: Controlling and provisioning a robot of a virtual machine (VM) includes transmitting a connection request between a first service installed in a virtual machine and a second service. The robot is associated with at least one process running on the virtual machine. The virtual machine is authenticated based on a token associated with the second service and the virtual machine. A connection is established between the first service and the second service. A command is transmitted associated with the controlling of the robot from the second service to the first service based on the authentication of the virtual machine. The command is associated with a corresponding command identifier for identifying a type of the command. The command is then executed for controlling the robot.

Abstract: An array substrate includes a substrate, a first metal layer and an active layer disposed on the substrate, an interlayer insulating layer, and a second metal layer. The first metal layer forms at least one first trace, the interlayer insulating layer is disposed on the first metal layer and the active layer, the second metal layer is disposed on the interlayer insulating layer, the interlayer insulating layer is formed with a first contact hole, and the second metal layer is connected to the first trace through the first contact hole. The first metal layer includes a conductive layer and a first protective layer stacked in sequence.

Abstract: A tissue resection system and a method for determining a cutting parameter, the method comprising the following steps: acquiring a three-dimensional ultrasonic image of a target tissue; slicing the three-dimensional ultrasonic image to form a series of two-dimensional slice images, according to a preset step size; determining contour information the two-dimensional slice images; and calculating a cutting parameter on the basis of the determined contour information comprising contour information of an ablation tool and contour information of the target tissue, the cutting parameter comprising at least one of: a cutting position parameter (L), a cutting depth parameter (R), and a cutting angle parameter (?). Therefore, a cutting parameter can be calculated more efficiently, and a more reasonable and larger cutting range can be planned more precisely, thus resection efficiency, the resection area, and safety are all achieved.

Abstract: A sensor control method includes: obtaining first indication information, where the first indication information indicates a first scenario; determining a configuration parameter of at least one sensor based on the first indication information, where the configuration parameter is corresponding to the first scenario; and sending the configuration parameter to the at least one sensor. The sensor control method may be applied to automatic driving or intelligent driving, and may be specifically applied to assisted driving or unmanned driving. The sensor can be flexibly controlled through configurable parameters of sensors such as radar or a camera.

Abstract: The present application discloses a display panel and an electrical terminal. The display panel includes: an underlay; an array driver layer located on the underlay and including a gate electrode layer and a source and drain electrode layer; a signal line including an adaptor portion located in the non-display region, wherein the adaptor portion includes a first wire section disposed in a same layer with the gate electrode layer, a second wire section disposed in a same layer with the source and drain electrode layer, and a bridge portion electrically connected to the first wire section and the second wire section; wherein the first wire section, the second wire section, and the bridge portion are disposed in different layers.

Abstract: Techniques for carbon sequestration and storage site selection are presented.

Abstract: A mounting beam includes a beam body provided with a plurality of mounting areas configured to mount a front cabin accessory. The beam body includes a first cross beam, a second cross beam, a first oblique beam and a second oblique beam. The first and second cross beams are arranged in parallel and spaced apart from each other, and both the first and second cross beams are configured to couple a left shock absorber tower to a right shock absorber tower. Each of the first and second oblique beams intersects with the second cross beam, first ends of the first and second oblique beams are coupled to the first cross beam, and second ends of the first and second oblique beams are coupled to each other to form a first joint. The first joint is configured to be coupled to a dash panel.

Abstract: A vehicle body frame includes a front bumper beam assembly, first and second frame assemblies, and a front compartment triangular beam. The front bumper beam assembly extends along a width direction of a vehicle body. The first and second frame assemblies are coupled to the front bumper beam assembly, and spaced apart in the width direction of the vehicle body. Each of the first and second frame assemblies includes a front longitudinal beam, an upper beam and a front damper tower. The front longitudinal beam is coupled to the front bumper beam assembly, the upper side beam is coupled to the front longitudinal beam. The front damper tower is coupled between the upper side beam and the front longitudinal beam. The front compartment triangular beam is coupled between the front damper tower of the first frame assembly and the front damper tower of the second frame assembly.

Abstract: This disclosure provides methods and apparatuses for training a neural network model. One example method performed by a terminal device includes: obtaining annotation data of a service, wherein the service is to be processed by a first neural network model and a second neural network model, and wherein precision of the first neural network model is lower than precision of the second neural network model, training a second neural network model by using the annotation data of the service to obtain a trained second neural network model, and updating a first neural network model based on the trained second neural network model.

Abstract: Controlling and provisioning a robot of a virtual machine (VM) includes transmitting a connection request between a first service installed in a virtual machine and a second service. The robot is associated with at least one process running on the virtual machine. The virtual machine is authenticated based on a token associated with the second service and the virtual machine. A connection is established between the first service and the second service. A command is transmitted associated with the controlling of the robot from the second service to the first service based on the authentication of the virtual machine. The command is associated with a corresponding command identifier for identifying a type of the command. The command is then executed for controlling the robot.

Abstract: This application discloses a method for controlling traffic in a packet-based network. In the method, after receiving a control packet from a transmit end, an intermediate node between the transmit end and the receive end sends a control packet at the head of a first control queue based on a first duration, wherein the first duration is obtained based on a committed burst size (CBS) and a first committed information rate (CIR), and the intermediate node is configured to send a packet of a first transmit end to a first receive end in the packet-based network. After sending the control packet in the control queue, the intermediate node sends a first data packet set at the head of a data queue based on the sent control packet, wherein the first data packet set comprises C data packets, and C is an integer greater than or equal to 1.

Abstract: Disclosed are a lifting desk control system with an imperceptible intelligent adjustment function and a control method for imperceptible intelligent adjustment of the lifting desk. The system includes an imperceptible control system module configured to control lifting of the lifting desk in an imperceptible mode, a switching module electrically connected with the imperceptible control system module, a motor module configured to drive the lifting desk to do a lifting action, a motor drive module electrically connected between the imperceptible control system module and the motor module, a desktop, a transmission module configured to be mechanically connected with the motor module and the desktop, and a power module configured to supply power. The power module is respectively electrically connected with the switching module, the imperceptible control system module and the motor drive module.