Abstract: A corneal implant with adhesion-increase treatment is associated with a method for increasing the adhesion of the artificial corneal implant by an epoxy-amine ring-opening reaction of the polyamino high-molecular polymer and glycidyl methacrylate to obtain a methacrylate modified polyamino polymer. The method improves the adhesion and biocompatibility of the artificial corneal endothelial sheet by photo-initiated free radical polymerization reaction, and has a high oxygen permeability and a high adhesion. It can be used for treating patients with corneal endothelial decompensation, playing a barrier role to block aqueous humor, eliminating corneal edema, and reducing the risk of corneal graft detachment after surgery.

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: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

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: 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: 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: 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: 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, 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: 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: The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

Abstract: The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. A type of the new feature can be classified in accordance with an analysis of a structure of the current data that has been clustered together based on a threshold spatial closeness, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

Abstract: The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

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: The invention generally relates to sample analysis with a miniature mass spectrometer. In certain embodiments, the invention provides methods that involve generating ions of a first analyte and ions of a second analyte. Those ions are transferred through a discontinuous sample introduction interface into a first ion trap of a mass spectrometer in a manner in which the discontinuous sample introduction interface remains open during the transferring. The discontinuous sample introduction interface is closed and the ions are sequentially transferred to a second ion trap of the mass spectrometer where they are sequentially analyzed.

Abstract: The invention generally relates to sample analysis with a miniature mass spectrometer. In certain embodiments, the invention provides methods that involve generating ions of a first analyte and ions of a second analyte. Those ions are transferred through a discontinuous sample introduction interface into a first ion trap of a mass spectrometer in a manner in which the discontinuous sample introduction interface remains open during the transferring. The discontinuous sample introduction interface is closed and the ions are sequentially transferred to a second ion trap of the mass spectrometer where they are sequentially analyzed.

Abstract: The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. A type of the new feature can be classified in accordance with an analysis of a structure of the current data that has been clustered together based on a threshold spatial closeness, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

Abstract: The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

Abstract: The present invention relates to a method for preparing magnesium lithospermate B. The method is characterized in that: magnesium lithospermate B is extracted or purified from a Salvia miltiorrhiza plant material or a Salvia miltiorrhiza extract in the presence of an added magnesium salt. The present invention also relates to a high-purity magnesium lithospermate B product prepared by the method of the present invention, wherein the content of magnesium lithospermate B is more than 95% by weight.

Abstract: A method is disclosed. The method may include a method for management of an electronic device. The method may include acquiring operation data of an electronic device. The method may include determining, based on the operation data of the electronic device whether to send a data-acquiring command to the electronic device. The method may include sending a data-acquiring command to the electronic device. The method may include receiving, from the electronic device, response data generated by the electronic device in response to the data-acquiring command. An apparatus and program product are also disclosed.