Abstract: A parameter adjustment method includes: inputting a testing signal into a radio frequency (RF) device to obtain an output signal generated by the RF device, using the output signal as a target signal to perform a determination procedure, wherein the determination procedure includes: determining whether a return loss of the target signal matches default specifications, inputting the target signal into a parameter adjustment model to obtain an adjustment scheme when the return loss does not match any one of the default specifications, wherein the adjustment scheme indicates an update electric parameter of the RF device, obtaining another output signal corresponding to the adjustment scheme from the RF device, using the another output signal as the target device to perform the determination procedure, and outputting a test result when the return loss matches the default specifications.

Abstract: The current disclosure includes coronavirus vaccines that protect against pathogenic coronavirus species, as well as their variants. In certain embodiments, SARS-CoV-2 variant specific and multivalent coronavirus vaccines are described. The vaccines typically include a modified mRNA which encodes at least one coronavirus derived immunogen, such as a spike protein or a fragment thereof. The mRNA can be encapsulated into lipid nanoparticles or other carriers and formulated as pharmaceutical compositions which can be used to generate an immune response to coronavirus in a subject. The vaccines can be used to elicit potent B and T cell responses against SARS-CoV-2 variants and to confer protective immunity against SARS-CoV-2, as well as other pathogenic coronavirus species such as SARS-CoV and/or MERS-CoV.

Abstract: Disclosed are a high-selectivity KCNQ4 potassium channel agonist of formula I, a preparation method therefor and the use thereof. The compound further improves the KCNQ4 agonistic activity, and is still free of KCNQ2 agonistic activity, thus having excellent KCNQ4/KCNQ2 selectivity. The high-selectivity KCNQ4 agonist overcomes the defect of poor selectivity of existing potassium channel agonists, the activity is relatively increased, and the toxicity is remarkably reduced. The agonist also has a simpler structure and lower product cost, thereby having a better development prospect.

Abstract: Planning, or path finding is one of many tasks performed by an autonomous vehicle (AV). Planning involves searching for and updating an optimal plan from a current pose to an end pose while avoiding obstacles. Planning can be particularly challenging in driving scenarios involving complex driving maneuvers, such as parking, making a U-turn, making a K-turn, etc. Searching for an optimal plan may take more time, e.g., a few seconds, in certain driving scenarios. Consumers of the plan may have a low tolerance for delay in receiving the optimal plan. A relay can be implemented to publish the latest plan to the consumers at a frequency. The relay can check whether the delay violates a dynamic threshold and raise an error accordingly. The searching process can be improved to reduce the delay in finding an optimal plan.

Abstract: An aspect of the present disclosure is related to a method for measuring and controlling linear chirp level of ultrafast laser pulse. The method includes steps as follows. A carrier-envelope phase-chirp (CEP-chirp) relation which serve as a chirp monitor is extracted, in which the CEP-chirp relation is generated from an ultrafast laser pulse. A linear chirp level of a target pulse is measured in response to the CEP-chirp relation. According to the measuring with respect to the linear chirp level of the target pulse, a dispersion element which the ultrafast laser pulse passes through is varied to control and stabilize the linear chirp level of the target pulse.

Abstract: A model prediction-based control method for grid forming of multi-port autonomous reconfigurable solar plants includes: estimating and predicting system parameters by establishing a multi-port autonomous reconfigurable solar plant and a dynamic model of a synchronous generator model; converting an objective function into an unconstrained optimization problem, using Newton's method to achieve minimum computational burden within each calculation time step to find a solution in real time for obtaining an optimal angular frequency; based on results of the optimal angular frequency, updating an output voltage and a dq-axis current of the multi-port autonomous reconfigurable solar plant, and changing an arm modulation index of the plant, thereby realizing the plant's inertia and primary frequency modulation support. The model prediction-based control method provided by the present invention achieves rapid prediction during operation and improves frequency response, rapidity and system stability.

Abstract: Systems and methods for a vehicle to use a fallback control system orthogonal to a primary control system are provided. A method includes collecting, by a fallback control system of a vehicle, sensor data generated by one or more sensors of the vehicle; determining, by the fallback control system using a first process different from a second process of a primary control system of the vehicle, an alternative action for the vehicle based on the sensor data; and sending, by the fallback control system based on the alternative action, an instruction for modifying an action associated with the primary control system upon a faulty condition associated with the primary control system.

Abstract: Systems and methods for collision imminent detection are provided. A method includes collecting sensor data generated by one or more sensors of a vehicle; detecting, by a fallback control system of the vehicle based on the sensor data, an imminent collision between the vehicle and an object in an environment of the vehicle using a first process different from a second process of a primary control system of the vehicle, wherein the first process and the second process are associated with at least one of a perception or a prediction; and transmitting, by the fallback control system to the primary control system, an indication of the detected imminent collision.

Abstract: It may be desirable for a remote advisor to request an autonomous vehicle to relocate to a target relocation pose using a freespace planner that has fewer constraints than the structured planner that is used for normal driving. The autonomous vehicle planning stack can include a remote vehicle interface, which can serve as the application programming interface for remote requestors to request relocation of the autonomous vehicle. The remote vehicle interface may implement a relocation state machine to carry out different parts of a relocation session. A scenario manager may subscribe to the state of the relocation state machine. Based on the state, the scenario manager can request the freespace planner to generate an output plan for the target relocation pose and can orchestrate handoff between different motion planners to relocate the autonomous vehicle.

Abstract: It may be desirable for a remote advisor to request an AV to relocate to a target relocation pose. In some cases, reaching a target relocation pose may involve a multi-point maneuver. Ability to perform relocation that involves a multi-point maneuver offers flexibility for the AV to maneuver around double-parked vehicles, to avoid obstacles, to aid a reroute when a route becomes unnavigable, etc. To support relocation that involves performing multi-point maneuvers, the planning stack may be modified to include a motion planner that can generate output plans that involve the AV going forward and in reverse. Moreover, the vehicle control stack may publish vehicle controls information as feedback information to the motion planner and the remote requestor, so that the motion planner and the remote requestor can be informed of the state of the AV.

Abstract: The present invention relates to a Biochemical-Level Automatic-screening Smart droplet-TO-micro-hydrogels chip (BLASTO-chip) system for sperm selection. The BLASTO-chip technology advances sperm selection from the primitive morphology level to a more sophisticated biochemical level, and it will not only provide a powerful tool to patients who have fertility problems but also work as a platform for further development of more advanced sperm selection technologies. The present invention also provides a method for improving the success rate of in vitro fertilization in a patient with asthenospermia.

Abstract: A method is described and includes receiving an indication that a collision between a vehicle and an object is predicted; processing first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data and if not, processing second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data. If the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data, determining a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and prompting an action to be based on the determined severity of the collision.

Abstract: Systems and techniques are provided for using different planners for autonomous driving. An example method can include determining, based on sensor data from one or more sensors of an autonomous vehicle (AV), a maneuver to be performed by the AV according to one or more parameters that deviate from one or more restrictions of a first planner being used by the AV to navigate a scene; identifying a second planner of the AV that supports the one or more parameters that deviate from the one or more restrictions of the first planner; determining a state of the AV selected to trigger a switch from the first planner to the second planner; maneuvering the AV using the first planner until the state of the AV is satisfied; and in response to determining that the state of the AV is satisfied, autonomously switching from the first planner to the second planner.

Abstract: A method is described and includes receiving a frame of point cloud data from at least one onboard light detection and ranging (LIDAR) sensor of a vehicle; discarding points of the received frame of point cloud data that are outside a defined geographic area around the vehicle; and, subsequent to the discarding, performing ray tracing in connection with the remaining points of the received frame of point cloud data. The method may further include characterizing an occupancy condition of each of a plurality of cells of a three-dimensional (3D) grid corresponding to the defined geographic area based on the ray tracing of the received frame of point cloud data, wherein the 3D grid corresponds to the received frame of point cloud data.

Abstract: Misalignment of camera and light detection and ranging (LIDAR) sensors can impact operations performed by an autonomous vehicle (AV) stack. Misalignment, or deviation from initial alignment over time, can occur in pitch, yaw, and roll dimensions. To address alignment issues, AV sensors may be calibrated before the AV drives on roadways. Additionally, AV sensors may be routinely calibrated at a maintenance facility to detect deviations from initial alignment of the sensors. Offline calibration of AV sensors in maintenance facilities can be inefficient and can significantly increase overhead. Therefore, online calibration of AV sensor misalignment may alleviate some of these concerns. Additionally, online calibration of AV sensors enables efficient monitoring and effective calibration of AV sensor alignment for a whole fleet of AVs while the fleet is on the road.

Abstract: Embodiments of this application provide a human-computer interaction method, a human-computer interaction apparatus, and a storage medium. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.

Abstract: Systems, methods, and computer-readable media are provided for detecting a pavement marking around an autonomous vehicle, comparing the detected pavement marking with a pavement marking present in a semantic data map, determining whether a change has occurred between the detected pavement marking and the pavement marking present in the semantic data map, and updating the semantic data map based on the determining of whether the change has occurred between the detected pavement marking and the pavement marking present in the semantic data map.

Abstract: A method is described and includes receiving a frame of point cloud data from at least one onboard light detection and ranging (LIDAR) sensor of a vehicle; discarding points of the received frame of point cloud data that are outside a defined geographic area around the vehicle; and, subsequent to the discarding, performing ray tracing in connection with the remaining points of the received frame of point cloud data. The method may further include characterizing an occupancy condition of each of a plurality of cells of a three-dimensional (3D) grid corresponding to the defined geographic area based on the ray tracing of the received frame of point cloud data, wherein the 3D grid corresponds to the received frame of point cloud data.

Abstract: Systems and methods for a vehicle to use a fallback control system orthogonal to a primary control system are provided. A method includes collecting, by a fallback control system of a vehicle, sensor data generated by one or more sensors of the vehicle; determining, by the fallback control system using a first process different from a second process of a primary control system of the vehicle, an alternative action for the vehicle based on the sensor data; and sending, by the fallback control system based on the alternative action, an instruction for modifying an action associated with the primary control system upon a faulty condition associated with the primary control system.