Abstract: A pyridopyrimidinone derivative as represented by formula I, and a tautomer, a stereoisomer, a hydrate, a solvate, a pharmaceutically acceptable salt thereof or a prodrug thereof. The pyridopyrimidinone derivative has a good SOS1 inhibitory effect.

Abstract: The invention relates to the field of biomedicine, in particular to a T cell co-expressing CXCR2 and a Synthetic T-Cell Receptor and Antigen Receptor (STAR) against GPC3, and uses thereof.

Abstract: The present invention relates to the field of biomedicine, to an improved T cell receptor-costimulatory molecule chimera, in particular to a T cell receptor (TCR) or TCR complex comprising a costimulatory molecule, a T cell comprising the TCR or TCR complex, and the use thereof.

Abstract: A method and device for timing alignment of audio signals. The method includes: generating frequency domain images respectively for an audio signal to be aligned and a template audio signal (S110); inputting the frequency domain images into a twin neural network of a timing offset prediction model respectively, to obtain two frequency domain features output by the twin neural network (S120); fusing the two frequency domain features to obtain a fused feature (S130); inputting the fused features into a prediction network of the timing offset prediction model to obtain a timing offset output by the prediction network (S140); and performing timing alignment processing on the audio signal to be aligned according to the timing offset (S150). The technical solution is more robust, and especially in a noisy environment, features extracted by a deep neural network are more intrinsic and more stable. An end-to-end timing offset prediction model is more accurate and faster.

Abstract: Disclosed are a voice coil motor, a method and a device for controlling the voice coil motor. The voice coil motor includes an outer coil module and an inner coil module inside the outer coil module, an air gap for the inner coil module to move is formed between the inner coil module and the outer coil module. The method includes: driving the outer coil module to generate an outer coil electromagnetic force; determining an inner coil current instruction according to an expectation force instruction and force feedback information sent by an executing mechanism of the voice coil motor; driving the inner coil module of the voice coil motor to generate an inner coil electromagnetic force according to the inner coil current instruction; and enabling the executing mechanism to generate a motor acting force according to the outer coil electromagnetic force and the inner coil electromagnetic force.

Abstract: A global path planning method and device for an unmanned vehicle are disclosed. The method comprises: establishing an object model through a reinforcement learning method, wherein the object model includes: a state of the unmanned vehicle, an environmental state described by a map picture, and an evaluation index of a path planning result; building a deep reinforcement learning neural network based on the object model established, to obtain a stable neural network model; inputting the map picture of the environment state and the state of the unmanned vehicle into the deep reinforcement learning neural network after trained, and generating a motion path of the unmanned vehicle. According to the present disclosure, the environment information in the scene is marked through the map picture, and the map features are extracted through the deep neural network, thereby simplifying the modeling process of the map scene.

Abstract: A multi-screen display system and a mouse switching control method are disclosed. The mouse switching control method is applied to a multi-screen display system comprising a main display screen and at least one extended display screen, and comprises: obtaining user images collected by cameras installed on the main display screen and the extended display screen respectively; inputting the user images into a neural network model, and predicting a screen that a user is currently paying attention to using the neural network model to obtain a prediction result; and controlling to switch a mouse to the screen that a user is currently paying attention to according to the prediction result. The system and mouse switching control method are based on self-learning of visual attention, predict the current screen operated by the user, automatically switch the mouse to the corresponding screen position, and improve the user experience.

Abstract: Provided is a microorganism, which is Leuconostoc citreum WSJ-57 deposited under an accession number of CGMCC No. 19201 in the China General Microbiological Culture Collection Center on Dec. 20, 2019.

Abstract: A method for controlling placement of a virtual character includes: displaying a virtual character at a first position in a virtual reality (VR) scene; receiving a first instruction in the VR scene, the first instruction indicating moving the virtual character from the first position by a designated movement; displaying, in response to receiving the first instruction, third indication information as a preview of the designated movement in the VR scene; determining, according to the first instruction, a second position by the designated movement from the first position in response to the first instruction; removing the virtual character from the first position; and placing the virtual character at the second position, the virtual character not appearing between the first position and the second position after being removed from the first position.

Abstract: The present disclosure provides a method for controlling a drone, a drone, and a system. The method for controlling a drone comprises: determining operating parameters of a moving platform according to field-of-view images containing the moving platform collected at any two different moments and flight parameters of the drone; calculating a time-varying tracking position of the moving platform based on the operating parameters; controlling the drone to track the moving platform according to the time-varying tracking position of the moving platform; and controlling the drone to perform a landing operation according to a relative position of the moving platform and the drone during tracking. The technical solutions according to the present disclosure have high landing accuracy, rely less on device performance and have high versatility.

Abstract: A method for controlling placement of a virtual character includes: displaying a virtual character at a first position in a virtual reality (VR) scene; receiving a first instruction in the VR scene, the first instruction indicating moving the virtual character from the first position by a designated movement; displaying, in response to receiving the first instruction, third indication information as a preview of the designated movement in the VR scene; determining, according to the first instruction, a second position by the designated movement from the first position in response to the first instruction; removing the virtual character from the first position; and placing the virtual character at the second position, the virtual character not appearing between the first position and the second position after being removed from the first position.

Abstract: The present invention discloses a permanent packer and an extended gas lift method using the permanent packer, the method comprising: S1. imbedding the extended gas lift embedded pipe when setting the permanent packer, wherein the extended gas lift embedded pipe has an upper end being closed and a lower end being open, is provided therein with a one-way valve through which the fluid can pass from top to bottom; S2. lowering a breaking device from the production casing when in the extended gas lift, to break the upper end of the extended gas lift embedded pipe such that the upper and lower ends of the extended gas lift embedded pipe are communicated; and S3. injecting gas into the production casing, lifting the accumulated liquid in the bottom hole to the ground surface, to complete the extended gas lift.

Abstract: A multi-AGV motion planning method, device and system are disclosed. The method of the present disclosure comprises: establishing an object model through reinforcement learning; building a neural network model based on the object model, performing environment settings including AGV group deployment, and using the object model of the AGV in a set environment to train the neural network model until a stable neural network model is obtained; setting an action constraint rule; and after the motion planning is started, inputting the state of current AGV, states of other AGVs and permitted actions in a current environment into the neural network model after trained, obtaining the evaluation indexes of a motion planning result output by the neural network model, obtaining an action to be executed of the current AGV according to the evaluation indexes, and performing validity judgment on the action to be executed using the action constraint rule.

Abstract: A global path planning method and device for an unmanned vehicle are disclosed. The method comprises: establishing an object model through a reinforcement learning method, wherein the object model includes: a state of the unmanned vehicle, an environmental state described by a map picture, and an evaluation index of a path planning result; building a deep reinforcement learning neural network based on the object model established, to obtain a stable neural network model; inputting the map picture of the environment state and the state of the unmanned vehicle into the deep reinforcement learning neural network after trained, and generating a motion path of the unmanned vehicle. According to the present disclosure, the environment information in the scene is marked through the map picture, and the map features are extracted through the deep neural network, thereby simplifying the modeling process of the map scene.

Abstract: A multi-screen display system and a mouse switching control method are disclosed. The mouse switching control method is applied to a multi-screen display system comprising a main display screen and at least one extended display screen, and comprises: obtaining user images collected by cameras installed on the main display screen and the extended display screen respectively; inputting the user images into a neural network model, and predicting a screen that a user is currently paying attention to using the neural network model to obtain a prediction result; and controlling to switch a mouse to the screen that a user is currently paying attention to according to the prediction result. The system and mouse switching control method are based on self-learning of visual attention, predict the current screen operated by the user, automatically switch the mouse to the corresponding screen position, and improve the user experience.

Abstract: Aspects of the disclosure provide methods and apparatuses for displaying a gesture in a virtual reality (VR) environment. In some examples, an apparatus for displaying the gesture in the virtual reality (VR) environment includes processing circuitry. The processing circuitry displays a first gesture object corresponding to a state of a virtual hand when the virtual hand does not hold a virtual article. The processing circuitry displays a second gesture object when a ray of the first gesture object intersects the virtual article. The second gesture object indicates that the virtual article is in front of the virtual hand. The ray extends from the virtual hand. The processing circuitry displays a third gesture object in response to a selection instruction. The third gesture object corresponds to a state of the virtual hand when the virtual hand holds the virtual article.

Abstract: Determining security vulnerabilities of smart home devices.

Abstract: The disclosed computer-implemented method for fingerprinting devices may include (i) detecting that a new device has attempted to connect to a network gateway, (ii) attempting to fingerprint the new device as an instance of a known candidate device type by (a) transmitting to the new device, from a security application, a set of network messages that mimic network messages that a second application is configured to transmit to instances of the known candidate device type and (b) confirming, by the security application based on a response from the new device to the set of network messages, that the new device is the instance of the known candidate device type, and (iii) performing a security action to protect a network corresponding to the network gateway based on confirming that the new device is the instance of the known candidate device type. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method for controlling placement of a virtual character includes: displaying a virtual character at a first position in a virtual reality (VR) scene; receiving a first instruction in the VR scene, the first instruction indicating moving the virtual character from the first position by a designated movement; displaying, in response to receiving the first instruction, third indication information as a preview of the designated movement in the VR scene; determining, according to the first instruction, a second position by the designated movement from the first position in response to the first instruction; removing the virtual character from the first position; and placing the virtual character at the second position, the virtual character not appearing between the first position and the second position after being removed from the first position.

Abstract: Embodiments of the present application disclose a method and an apparatus for controlling placement of a virtual character and a storage medium. The method includes: receiving a first instruction in a virtual reality (VR) scene, the first instruction indicating moving a virtual character from a first position by a designated movement; determining a second position by the designated movement from the first position in response to the first instruction; removing the virtual character from the first position; and placing the virtual character at the second position, the virtual character not appearing between the first position and the second position after being removed from the first position.