Abstract: Compositions including a polyamide, and compaction rollers for an automated fiber placement machine incorporating the composition are provided. The polyamide may be a reaction product of at least one diamine and an aromatic dicarboxylic acid, a hydroxy benzoic acid, or their respective ester or acyl halide derivatives. The at least one diamine may include an amino terminated perfluorinated alkyl ether polymer or oligomer. The composition may have a thermal conductivity of from about 0.2 to about 50 Watts per meter Kelvin (Wm?1K?1).

Abstract: Compositions including a polyimide and one or more thermally conductive fillers, and compaction rollers for an automated fiber placement machine incorporating the compositions are provided. The polyimide may be a polymeric reaction product of a dianhydride and one or more diamines. The one or more diamines may include a fluorine-containing alkyl ether diamine. The one or more thermally conductive fillers may include one or more of a carbon-based filler, boron nitride, a metal, or combinations thereof. The compositions may have a thermal conductivity of from about 0.2 to about 50 Watts per meter Kelvin (Wm?1 K?1).

Abstract: A method for plasma treating a surface of a first substrate is disclosed. The method may comprise generating a plasma flume using a plasma treatment device having a nozzle. The plasma flume may emanate through a flume aperture of the nozzle at an emanation angle of about 5 degrees or less. The emanation angle may be defined as an angle between a central axis of the nozzle and a central axis of the flume aperture. The method may further comprise plasma treating the surface of the first substrate with the plasma flume by scanning the plasma flume over the surface of the first substrate. The first substrate may be one of a consolidated thermoplastic material and a cured thermoset material.

Abstract: A process for producing a coated particle to provide controlled release characteristics. In this process the mixing of the substrate and coating is made in a mixing device and that mixture is then transferred to a reactor vessel different from the mixing device where the chemical curing of the coating over the particles takes place. Several layers of coating can be applied by repeating the steps and it can be run in a fully continuous manner.

Abstract: Systems and methods for machine learning architecture for time series data prediction. The system may include a processor and a memory storing processor-executable instructions. The processor-executable instructions, when executed, may configure the processor to: obtain time series data associated with a data query; generate a predicted value based on a sampled realization of the time series data and a continuous time generative model, the continuous time generative model trained to define an invertible mapping to maximize a log-likelihood of a set of predicted values for a time range associated with the time series data; and generate a signal providing an indication of the predicted value associated with the data query.

Abstract: Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The location information describes known or potential locations of the sensors generating the sensory inputs. An inference system learns representations of objects by characterizing a plurality of feature-location representations of the objects, and then performs inference by identifying or updating candidate objects consistent with feature-location representations observed from the sensory input data and location information. In one instance, the inference system learns representations of objects for each sensor. The set of candidate objects for each sensor is updated to those consistent with candidate objects for other sensors, as well as the observed feature-location representations for the sensor.

Abstract: Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The location information describes known or potential locations of the sensors generating the sensory inputs. An inference system learns representations of objects by characterizing a plurality of feature-location representations of the objects, and then performs inference by identifying or updating candidate objects consistent with feature-location representations observed from the sensory input data and location information. In one instance, the inference system learns representations of objects for each sensor. The set of candidate objects for each sensor is updated to those consistent with candidate objects for other sensors, as well as the observed feature-location representations for the sensor.

Abstract: A method of forming a reinforced panel may include engaging a reinforcement component having a faying surface with a first portion of a heated press, engaging an uncured panel component with an opposing second portion of the press, the panel component having a faying surface complementarily-configured with respect to the faying surface of the reinforcement component, treating the faying surface of the reinforcement component such that the faying surface is active for co-bonding with respect to the panel component, actuating the press to direct the first and second portions of the press toward each other, such that the faying surfaces are complementarily engaged under pressure; and heating the first and second portions of the press to a curing temperature associated with the panel component to substantially simultaneously co-bond the faying surfaces of the reinforcement component and the panel component together, cure the panel component, and form the reinforced panel.

Abstract: A method for plasma treating a surface of a first substrate is disclosed. The method may comprise generating a plasma flume using a plasma treatment device having a nozzle. The plasma flume may emanate through a flume aperture of the nozzle at an emanation angle of about 5 degrees or less. The emanation angle may be defined as an angle between a central axis of the nozzle and a central axis of the flume aperture. The method may further comprise plasma treating the surface of the first substrate with the plasma flume by scanning the plasma flume over the surface of the first substrate. The first substrate may be one of a consolidated thermoplastic material and a cured thermoset material.

Abstract: A system for treating a surface and applying adhesive to an already treated portion of the surface concurrently is presented. The system comprises surface treatment equipment, adhesive application equipment, and a common feed system. The surface treatment equipment is configured to treat the surface of an elongated member. The adhesive application equipment is configured to apply adhesive to the already treated portion of the surface. The common feed system feeds the elongated member beneath the surface treatment equipment and the adhesive application equipment concurrently.

Abstract: Described herein are apparatus and methods for performing inference into the identity of an object. For an object of a plurality of objects, the apparatus receives feature-location information identifying a feature at first location on a first object of the plurality and a feature at a second location on a second object of the plurality. The apparatus activates a first set of location cells that collectively represent the first location on the first object corresponding to a feature on an object of the plurality of objects and a second set of location cells that collectively represent the second location on the second object corresponding to a feature on an object of the plurality of objects. The apparatus activates a set of displacement cells representing displacement of the first set of location cells and the second set of location cells and identifies one or more objects by processing the displacement cells.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: Disclosed herein are systems and methods for efficient 3D structure estimation from images of a transmissive object, including cryo-EM images. The method generally comprises, receiving a set of 2D images of a target specimen from an electron microscope, carrying out a reconstruction technique to determine a likely molecular structure, and outputting the estimated 3D structure of the specimen. The described reconstruction technique comprises: establishing a probabilistic model of the target structure; optimizing using stochastic optimization to determine which structure is most likely; and, optionally utilizing importance sampling to minimize computational burden.

Abstract: Disclosed herein are systems and methods for efficient 3D structure estimation from images of a transmissive object, including cryo-EM images. The method generally comprises, receiving a set of 2D images of a target specimen from an electron microscope, carrying out a reconstruction technique to determine a likely molecular structure, and outputting the estimated 3D structure of the specimen. The described reconstruction technique comprises: establishing a probabilistic model of the target structure; optimizing using stochastic optimization to determine which structure is most likely; and, optionally utilizing importance sampling to minimize computational burden.

Abstract: A system and a method for image alignment between at least two images to a three-dimensional model. The method including: determining a lower bound and an upper bound of an acceptable likelihood of mismatch between the at least two images; evaluating the likelihood of mismatch between the at least two images over a set of poses (r), shifts (t), or both poses (r) and shifts (t); and discarding those evaluations resulting beyond the lower bound and upper bound.

Abstract: A system for treating a surface and applying adhesive to an already treated portion of the surface concurrently is presented. The system comprises surface treatment equipment, adhesive application equipment, and a common feed system. The surface treatment equipment is configured to treat the surface of an elongated member. The adhesive application equipment is configured to apply adhesive to the already treated portion of the surface. The common feed system feeds the elongated member beneath the surface treatment equipment and the adhesive application equipment concurrently.

Abstract: An implantable pressure sensor arrangement is disclosed. The arrangement includes a substrate, a coil positioned on the substrate, a flexible membrane positioned proximate to the coil and configured to be moveable with respect to the coil, thereby forming a fluid chamber, fluidly sealed from outside of the implantable pressure sensor arrangement, a porous membrane positioned on the flexible membrane and configured to transfer pressure from outside of the implantable pressure sensor arrangement onto the flexible membrane wherein a differential pressure is generated on the two sides of the flexible membrane thereby causing the flexible membrane to deflect towards and away from the coil, and an electrode coupled to the flexible membrane.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: An implantable pressure sensor arrangement is disclosed. The arrangement includes a substrate, a coil positioned on the substrate, a flexible membrane positioned proximate to the coil and configured to be moveable with respect to the coil, thereby forming a fluid chamber, fluidly sealed from outside of the implantable pressure sensor arrangement, a porous membrane positioned on the flexible membrane and configured to transfer pressure from outside of the implantable pressure sensor arrangement onto the flexible membrane wherein a differential pressure is generated on the two sides of the flexible membrane thereby causing the flexible membrane to deflect towards and away from the coil, and an electrode coupled to the flexible membrane.