Abstract: In one embodiment, a method is provided comprising analyte testing on one or more types of samples.

Abstract: The present disclosure provides an automated method of producing genetically modified immune cells, including chimeric antigen receptor T (CAR T) cells, utilizing a fully-enclosed cell engineering system.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: Aspects of the subject disclosure may include, for example, a server, comprising a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a request from a mobile device of a user having an account to access a first mobile application of a plurality of mobile applications, wherein each of the plurality of mobile applications is embedded into a single bundled application, and wherein the single bundled application is downloaded onto the mobile device, determining whether the mobile device has permissions for access to the first mobile application and whether the mobile device is executing the single bundled application, and sending permissions data to the mobile device that enables the mobile device via the account to access the first mobile application. Other embodiments are disclosed.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: The aircraft control systems and methods disclosed herein are configured to detect a residual error associated with a flight control computer of an aircraft and mitigate the effect(s) of such residual error in order to maintain safe operation of the aircraft. In some embodiments, the systems and methods are configured to detect an out-of-flight-envelope situation of the aircraft and determine whether or not the flight control computer is attempting to recover the aircraft from the out-of-flight-envelope situation. If the flight control computer is perceived as attempting to recover the aircraft from the out-of-flight-envelope situation, the flight control computer is permitted to continue controlling the aircraft. Otherwise, the excursion outside of the normal flight envelope is perceives as potentially having been caused by a residual error and the flight control computer is prevented from continuing to control the aircraft.

Abstract: Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.

Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.

Abstract: Circuit board connector that provides electrical connection between conductive traces in a printed circuit board and microwave/millimeter-wave components.

Abstract: A shroud for a truck bed tailgate may have a set of platens adapted for engagement with a pick-up truck having truck bed, and a tailgate pivotable about a tailgate pivot axis. The set of platens may have a first platen adapted to be fixedly engaged with the truck bed, the first platen defining a hinge cover pivot axis parallel to the tailgate pivot axis. The shroud may further have a hinge cover, the hinge cover being rotatably engaged with the first platen to rotate about the hinge cover pivot axis between a first orientation wherein it extends over the elongated tailgate clearance gap, and a second orientation wherein it is clear of the tailgate when the tailgate is in the closed position.

Abstract: A method of feature matching in images captured from camera viewpoints uses the epipolar geometry of the viewpoints to define a geometrically-constrained region in a second image corresponding to a first feature in a first image; comparing the local descriptor of the first feature with local descriptors of features in the second image to determine respective measures of similarity; identifying, from the features located in the geometrically-constrained region, (i) a geometric best match and (ii) a geometric next-best match to the first feature; identifying a global best match to the first feature; performing a first comparison of the measures of similarity for the geometric best match and the global best match; performing a second comparison of the measures of similarity for the geometric best match and the geometric next-best match; and, if thresholds are met, selecting the geometric best match feature in the second image.

Abstract: A computer-implemented method for generating a feature descriptor for a location in an image for use in performing descriptor matching in analysing the image, the method comprising determining a set of samples characterising a location in an image by sampling scale-space data representative of the image, the scale-space data comprising data representative of the image at a plurality of length scales; and generating a feature descriptor in dependence on the determined set of samples.

Abstract: A computer-implemented method for generating a rotation-invariant feature descriptor for a location in an image for use in performing descriptor matching in analysing the image, extracts samples according to a descriptor pattern for the location in the image; uses the extracted samples to determine a measure of rotation for the location in the image, the measure of rotation describing an angle between an orientation of the image and a characteristic direction of the image at the location; generating a feature descriptor for the location in the image by determining a set of samples characterising the location in dependence on the determined measure of rotation and the extracted samples; and processes the determined set of samples to generate the feature descriptor for the location in the image.

Abstract: A computer system executes a user-supplied query across multiple relational database tables linked by a common key. A new query form, called a composite join, takes a user-supplied query including one or more terms optionally joined by logical operations, an identification of two or more tables and an identification of a common join key shared across the tables. The composite join applies the query across the tables such that any of the query terms can be matched by any of the tables. A query is performed across all tables for each query term and any join keys associated with matching records from the tables are identified in a set of join keys associated with the respective term. The logical operations are then performed on the resulting sets of join keys to combine the results of the term queries according to the user query.

Abstract: A system for detecting mechanical failure of a connection between a variable differential transformer and a controlled element. The sensor system includes a variable differential transformer with a housing encapsulating a first coil, a bore in the housing, wherein the bore is adjacent to the first coil, a core disposed in the bore, a shaft connectible between the core, at a first end, and the controlled element, at a second end, and a biasing element connected to the shaft. Responsive to a break in the shaft, the biasing element moves the core to an out-of-range position detectable by at least the first coil.

Abstract: A shroud for a truck bed tailgate may comprise a set of platens adapted for engagement with a pick-up truck having a truck bed, and a tailgate pivotable about a tailgate pivot axis. The set of platens may comprise multiple platens pivotably engaged to one another by multiple pivot shafts in order to form a four-bar linkage when assemble with a truck bed, and a tailgate.

Abstract: In one embodiment, a method is provided comprising analyte testing on one or more types of samples.

Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.

Abstract: A shroud for a truck bed tailgate may comprise a set of platens adapted for engagement with a pick-up truck having a truck bed, and a tailgate pivotable about a tailgate pivot axis. The set of platens may comprise multiple platens pivotably engaged to one another by multiple pivot shafts in order to form a four-bar linkage when assemble with a truck bed, and a tailgate.

Abstract: Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.