Abstract: The present application is directed to methods for modulating afucosylation of an antibody product that is produced in a bioreactor. The methods include the addition of mannose to the bioreactor to control the afucosylation of the antibody product, including increasing by afucosylation by 1% or more, relative to untreated bioreactor products.

Abstract: In one embodiment, a coupler includes a glass tube having a refractive index n3 and a passageway, a first optical waveguide and a second optical waveguide positioned within the passageway, each of the first optical waveguide and the second optical waveguide comprising a core surrounded by a cladding. The glass tube further includes a tapered region having a taper length. A coupling region is present between the first optical waveguide and the second optical waveguide within the tapered region. A refractive index of the cladding is less than a refractive index of the core, and a lowest refractive index of the cladding of the first optical waveguide and the second optical waveguide is n2. Additionally, n3 is lower than n2 such that a value of ?2-3 is 0.07%??2-3?0.125, where ?2-3 equals (n22?n32)/2n22.

Abstract: Driving simulations may be generated based on driving log data and used to validate autonomous vehicle safety systems. A driving simulation system may receive driving log data from autonomous vehicles and determine events which caused a vehicle to diverge from a planned trajectory. Driving simulations may be generated based on the driving log data, and executed using a simulated vehicle that follows the initial planned trajectory of the autonomous vehicle. The driving simulations may be analyzed to detect potential collisions and near misses, and to determine success conditions for the behaviors of vehicle safety systems. Driving simulations and associated success conditions may be aggregated and used in validation suites for vehicle controllers and/or vehicle safety systems, thereby providing more comprehensive and robust autonomous vehicle validation based on real-world driving scenarios.

Abstract: Various implementations disclosed herein include devices, systems, and methods for generating variations of an object. In various implementations, a device includes a display, a non-transitory memory and one or more processors coupled with the display and the non-transitory memory. In some implementations, a method includes obtaining a request to populate an environment with variations of an object characterized by at least one visual property. In some implementations, the method includes generating the variations of the object by assigning corresponding values for the at least one visual property based on one or more distribution criterion. In some implementations, the method includes displaying the variations of the object in the setting in order to satisfy a presentation criterion.

Abstract: Disclosed is a precision cut printing screen in which the features of a printing pattern are defined on a sheet material by a plurality of apertures within a target printing boundary. Also disclosed is a method of making the printing screen.

Abstract: Simulating output of a perception system may comprise receiving scenario data indicating a position associated with a simulated sensor and a position and/or identifier of an object, and instantiating a three-dimensional representation of an environment and the object (i.e., a simulated environment). The system may generate depth data indicating distances and/or positions of surfaces in the simulated environment relative to the simulated sensor position and determine a three-dimensional region of interest based at least in part on the depth data associated with at least a portion of the object. In some examples, the three-dimensional region of interest may be smaller than a size of the object, due to an occlusion by topology of the simulated environment and/or another object in the simulated environment.

Abstract: Procedural world generation using tertiary data is described. In an example, a computing device can receive road network data associated with the real environment and a road mesh associated with a real environment. The computing device can associate the road network data with the road mesh to generate a simulated environment. Additionally, the computing device can associate supplemental data with the road network data and the road mesh to enhance the simulated environment (e.g., supplementing information otherwise unavailable to the sensor data due to an occlusion). The computing device can output the simulated environment for at least one of testing, validating, or training an algorithm used by an autonomous robotic computing device for at least one of navigating, planning, or decision making.

Abstract: A haircare appliance has a housing having an air inlet and an air outlet, an airflow generator for generating an airflow from the air inlet to the air outlet, and a heater for heating the airflow. The haircare appliance has an airflow temperature module for obtaining a value indicative of a temperature of the airflow at the air outlet, a distance sensor for sensing a distance to hair within a flow path from the air outlet and a temperature sensor for sensing a temperature of the hair. The haircare appliance has a moisture estimation module configured to estimate, based on received output values from the airflow temperature module, the distance sensor and the temperature sensor, a moisture content of the hair.

Abstract: Various implementations disclosed herein include devices, systems, and methods for generating variations of an object. In various implementations, a device includes a display, a non-transitory memory and one or more processors coupled with the display and the non-transitory memory. In some implementations, a method includes obtaining a request to populate an environment with variations of an object characterized by at least one visual property. In some implementations, the method includes generating the variations of the object by assigning corresponding values for the at least one visual property based on one or more distribution criterion. In some implementations, the method includes displaying the variations of the object in the setting in order to satisfy a presentation criterion.

Abstract: Methods of dewatering tailings, including tailings streams that may include a clay, ultra-fine particles, or both. The methods may include providing a tailings stream, dewatering the tailings stream with a dewatering apparatus to produce a first cake and a first residual effluent stream, contacting the first residual effluent stream with one or more additives, and dewatering the first residual effluent stream with a solid bowl centrifuge to produce a second cake and a second residual effluent stream. The methods may include providing a tailings stream, contacting the tailings stream with one or more additives, and dewatering the tailings stream with a solid bowl centrifuge to produce a first cake and a first residual effluent stream.

Abstract: Techniques associated with improving performance and realism of simulation instances associated with simulation testing of autonomous vehicles. In some cases, a simulation system may be configured to run a pre-simulation test to identify and store occlusion data to improve the performance of subsequent simulations associated with a shared scene or route.

Abstract: Disclosed are methods of manufacturing a workpiece fixture (10) and also a target material fixture (10), for use in precision manufacturing processes. A sheet material is supported on a generic material fixture (10) and the sheet material precision processed to form support blades (16, 18) for a target workpiece fixture (10). Each support blade (16, 18) has a support locus and interstices are positioned in the support loci where a target pattern and the support loci coincide. Thus, there are no unnecessary clearances between the workpiece support (10) and the workpiece. The interstices that are present are located only where necessary to reduce or eliminate any interference between the precision manufacturing process and the fixture (10), when it is used in a precision process involving the target pattern.

Abstract: A simulation system may generate radar data for synthetic simulations of autonomous vehicles, by using a data store of object radar data and attributes determined from sensor data captured in real-world physical environments. The radar data store may include radar point clouds representing real-world objects and associated object attributes, as well as radar background data captured for a number of physical environments. The simulation system may construct radar data for use in a simulation based on radar object data and/or radar background data, including using various probabilities within various overlay regions to determine subsets of object and background radar points to be rendered. During a simulation, the generated radar data may be provided to a simulated radar sensor of a simulated vehicle configured to execute trained perception models based on radar data input.

Abstract: A simulation system may generate radar data for synthetic simulations of autonomous vehicles, by using a data store of object radar data and attributes determined from sensor data captured in real-world physical environments. The radar data store may include radar point clouds representing real-world objects and associated object attributes, as well as radar background data captured for a number of physical environments. The simulation system may construct radar data for use in a simulation based on radar object data and/or radar background data, including using various probabilities within various overlay regions to determine subsets of object and background radar points to be rendered. During a simulation, the generated radar data may be provided to a simulated radar sensor of a simulated vehicle configured to execute trained perception models based on radar data input.

Abstract: Provided herein are dibenzocyclooctyne compounds useful as reagents in 1,3-dipolar cycloaddition reactions, and methods for their preparation.

Abstract: A sensor simulation system may generate sensor data for use in simulations by rendering two-dimensional views of a three-dimensional simulated environment. In various examples, the sensor simulation system uses sensor dependency data to determine specific views to be re-rendered at different times during the simulation. The sensor simulation system also may generate unified views with multi-sensor data at each region (e.g., pixel) of the two-dimensional view for consumption by different sensor types. A hybrid technique may be used in some implementations in which rasterization is used to generate a view, after which ray tracing is used to align the view with a particular sensor. Spatial and temporal upsampling techniques also may be used, including depth-aware and velocity-aware analyses for simulated objects, to improve view resolution and reduce the frequency of re-rendering views.

Abstract: An object model for a real-world object is constructed using a parameter-based object generator, where the parameters for the object model are determined using sensor data such as photographic images, radar images, or LIDAR images obtained from the real-world object. Conversion of the sensor data to appropriate object parameters is accomplished using a machine learning system. The machine learning system is calibrated by generating a plurality of object parameters, generating a corresponding plurality of learning objects from the plurality of object parameters, generating a plurality of simulated sensor return data for the learning objects, and then providing the simulated sensor return data and object parameters to the machine learning system.

Abstract: Disclosed are processes and techniques for a correction factor determination process for determining a correction factor for delivering a drug to a patient via a drug delivery device. For example, for an insulin delivery device, the disclosed techniques enable adjustment of the patient’s correction factor in real time based on the deviation of the patient’s glucose concentrations against clinically recommended targets. For example, a method for determining a correction factor may include determining an insulin action (Iaction) for a patient over a duration, the insulin action representing a total insulin metabolized, determining glucose information for the patient over the duration, the glucose information representing glucose activity, and determining an estimated correction factor (CFest) based on (glucose information) / (insulin action) for the duration. Other embodiments are described.

Abstract: A sensor simulation system may generate sensor data for use in simulations by rendering two-dimensional views of a three-dimensional simulated environment. In various examples, the sensor simulation system uses sensor dependency data to determine specific views to be re-rendered at different times during the simulation. The sensor simulation system also may generate unified views with multi-sensor data at each region (e.g., pixel) of the two-dimensional view for consumption by different sensor types. A hybrid technique may be used in some implementations in which rasterization is used to generate a view, after which ray tracing is used to align the view with a particular sensor. Spatial and temporal upsampling techniques also may be used, including depth-aware and velocity-aware analyses for simulated objects, to improve view resolution and reduce the frequency of re-rendering views.

Abstract: Adapting database queries from a common interface into conditions specific to database storage formats, optimization of a data model, and virtualization of query results from combined databases.