Abstract: Disclosed is an optimal scheduling method for peak regulation of a cascade hydro-photovoltaic complementary power generation system. The method includes: establishing an objective function of optimal scheduling for peak regulation of the cascade hydro-photovoltaic complementary power generation system; establishing a photovoltaic power station output constraint condition considering uncertainty; optimizing a mixed integer linear model by performing linear processing on the constraint condition; and obtaining a scheduling solution by solving the mixed integer linear model. According to the present disclosure, a unit commitment of a hydro-power station and an operational solution of a reservoir are considered, so that photovoltaic output can be consumed by fully using a characteristic that the hydro-power unit is easy to regulate, and a demand for peak regulation of a power grid can be satisfied.

Abstract: The present application provides methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA. The present application further provides deaminase-recruiting RNAs used in the RNA editing methods and compositions and kits comprising the same.

Abstract: System, methods, and computer-readable media for configuring an autonomous vehicle based on safety scores determined by a safety score prediction algorithm, and an associated training technique, to output a safety score for a predicted and/or actual path. The safety score is a value indicating a likelihood of risky events per distance. The safety score prediction algorithm is trained with historical human driving datasets associated with paths (predicted or actual) taken by one or more AVs during human driving.

Abstract: The present technology is directed to training and the use of a machine learning model to measure the safety of an autonomous vehicle (AV) driving in simulation. An AV management system can run a simulation of an AV autonomously piloting itself and collect simulation driving data. Further, the AV management system can parse the simulation driving data into kinematic and semantic environmental features and output a simulation safety score of the simulation based on the kinematic and semantic environmental features. The simulation safety score indicates a probability of a safety critical event such as a collision or a near-miss between the AV and the at least one simulated object in the simulation.

Abstract: The present technology is directed to training and the use of a machine learning model to measure the safety of an autonomous vehicle (AV) driving. An AV management system can identify driving data including sensor data from an AV that is descriptive of an environment around the AV, a path of the AV, kinematic data of the AV, a path of at least one object in the environment, and in-memory data pertaining to data output by one or more algorithms in an autonomous driving stack. As follows, the AV management system can output a safety score for the path of the AV indicating a probability of a collision between the AV and the at least one object.

Abstract: The present technology is directed to training and using a machine learning model to predict a likelihood of a counterfactual safety critical event in autonomous vehicle (AV) driving in a projected scenario occurring after a human takes over control of an AV. An AV management system can identify driving data collected from periods around an occurrence of a human take over event where a human takes over control of an AV. The AV management system can project a scenario that would have resulted if the human did not take over control of the AV based on the driving data and output a counterfactual safety score for the projected scenario. The counterfactual safety score can indicate a probability of a counterfactual collision between the AV and the at least one object in the projected scenario.

Abstract: An example photoionization detector is provided. The example photoionization detector includes an insulation spacer component and a signal collection electrode component disposed on the first surface of the insulation spacer component. In some examples, the signal collection electrode component includes a first electrode layer and a second electrode layer.

Abstract: Disclosed is a chat group management method, including: detecting a message receiving mode corresponding to a chat group; obtaining a degree of interest of a user for chat group messages and an activity degree of the user in the chat group in accordance with a determination that the message receiving mode corresponding to the chat group is a mute-notification receiving mode; determining an importance ranking for the chat group according to the degree of interest and the activity degree; and updating the chat group's position among a plurality of chat groups in accordance with the importance ranking.

Abstract: The disclosed technology provides solutions for evaluating risk (e.g., collision risk) associated with different vehicle trajectories through an environment. A process of the disclosed technology can include steps for receiving a perception output, wherein the perception output identifies at least one dynamic entity in an environment, determining a projected trajectory for an autonomous vehicle (AV) based on the perception output, and calculating a risk metric for the AV based on the perception output and the projected trajectory for the AV, wherein the risk metric comprises an unrealized risk score that is based on a probability of future collision between the AV and the dynamic entity. Systems and machine-readable media are also provided.

Abstract: Determining control operations for an autonomous vehicle may include receiving, by an operational model, an operational model input based on camera data from one or more cameras of an automated vehicle; determining, by the operational model, based on the input, a current environmental state and a predicted environmental state; providing, to a rules module, a differential between the current environmental state and a previously predicted environmental state; and determining, based on the rules module, one or more control operations for the automated vehicle.

Abstract: There is provided a method of treating obesity and/or hypertension in a subject in need thereof by administering a therapeutically effective amount of a low molecular weight levan or a pharmaceutical composition comprising the low molecular weight levan and a pharmaceutically acceptable excipient.

Abstract: Disclosed herein are TLR-agonists compounds, antibody-TLR agonist conjugates, pharmaceutical composition, and methods of use of such compounds or conjugates as therapeutics for treating a disease or condition such as cancer.

Abstract: A method for extracting and separating salt alkali from saline alkali soil and soil improvement is disclosed. A foundation pit, square convex edge and cylindrical partition are arranged on a saline alkali land. Nitric or phosphoric acid solution is added to obtain a saline alkali pool. A trench is set around, and/or, a cylinder is set in the center of saline alkali pool. The evaporating material is prepared from vermiculite, laid on plastic wrapping material, and/or added into the cylinder. The salt alkali is precipitated and enriched through natural evaporation. The evaporating material enriched with salt alkali is taken out to be dissolved, separated and washed to obtain saline alkali solution and vermiculite or evaporating material. The vermiculite material is returned for reuse, and the above process is repeated. Alkali solution and intercalation agent are added into saline alkali solution to react and crystallize to obtain functional materials.

Abstract: The disclosed technology provides solutions for validating/verifying perception outputs, e.g., using multiple perception modules. In some aspects, a process of the disclosed technology can include steps for receiving sensor data, providing the sensor data to each of a plurality of perception modules, receiving a perception output from each of the plurality of perception modules, and determining a ground-truth perception output based on the perception outputs received from each of the plurality of perception modules. Systems and machine-readable media are also provided.

Abstract: The disclosed technology provides solutions for validating/verifying perception outputs, e.g., from a perception module of an autonomous vehicle (AV) software stack. In some aspects, a process of the disclosed technology can include steps for providing sensor data to a perception module, receiving, from the perception module, a first perception output based on the sensor data, providing the sensor data to a validation module, and receiving, from the validation module, a second perception output based on the sensor data. In some aspects, the process can further include steps for determining if the first perception output corresponds with the second perception output. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to techniques for filtering perception-related artifacts. The disclosed technology can include receiving, by a machine learning model, a first output generated by a perception system model onboard an autonomous vehicle, wherein the first output is based on sensor data received from sensors of the autonomous vehicle at a first time and includes an inaccurate perception of an environment around the autonomous vehicle, receiving, by the machine learning model, a second output generated by the perception system model onboard the autonomous vehicle, wherein the second output is based on sensor data received from sensors of the autonomous vehicle at a second time after the first time and includes an accurate perception of the environment around the autonomous vehicle, and altering, by the machine learning model, the inaccurate perception of the environment from the first output based on the accurate perception of the environment in the second output.

Abstract: The subject disclosure relates to techniques for enabling autonomous vehicles to reason about similarities of features between drivable areas. A process of the disclosed technology can include receiving first sensor data corresponding with a first roadway segment, receiving second sensor data corresponding with a second roadway segment, encoding the first sensor data into a first vector, wherein the first vector represents a first roadway characteristic associated with the first roadway segment, encoding the second sensor data into a second vector, wherein the second vector represents a second roadway characteristic associated with the second roadway segment, and determining a similarity between the first roadway segment and the second roadway segment based on the first vector and the second vector.

Abstract: The present invention provides a recombinant microorganism for producing citicoline and a method for producing citicoline by using the recombinant microorganism, wherein genes for degradation and utilization of citicoline, choline, and phosphocholine are knocked out, In addition, a pyrimidine nucleoside synthesis pathway is genetically engineered to remove feedback inhibition to the synthesis pathway. A yield of more than 20 g/L of citicoline can be obtained with recombinant strains in a 5-liter fermenter by means of a biological fermentation method, achieving industrial mass production with low citicoline production costs and less pollution; therefore, the method is a simple, environmentally friendly and has a relatively high promotion and application value.

Abstract: The present disclosure provides a light-weight flexible high-thermal-conductivity nano-carbon composite film and a method for preparing same. The nano-carbon composite film includes a plurality of composite units laminated sequentially. The composite unit includes flexible adhesive layers and a graphene film layer, and the flexible adhesive layers are disposed on both sides of the graphene film layer. The preparation method includes sequentially laminating the composite units and hot pressing to obtain the nano-carbon composite film. The nano-carbon composite film has the characteristics of high thermal conductivity, light weight and flexibility, and has an in-plane thermal conductivity of up to 500 W/m·K or higher, a density of 2.0 g/cm3 or less, and still a thermal conductivity of 500 W/m·K or higher after the nano-carbon composite film is repeatedly bent by 180° for 50 times while there is no peeling of graphene from the surface.

Abstract: The present invention provides compositions and methods comprising interleukin-2 (TL-2) polypeptide conjugates. Also described are IL-2 conjugates for the treatment of diseases or conditions including cancer.