Abstract: Computer-implemented systems and methods for rendering a visual effect on a graphical element, including: generating an initial visual effect based on the graphical element; computing a mask shape based on the graphical element; generating a mask based on the mask shape from the graphical element; masking the initial visual effect based on the mask to generate a masked visual effect; and combining the masked visual effect with the graphical element into a combined graphical element and visual effect.

Abstract: A hardware multithreaded processor including a register file, a thread controller, and aliasing circuitry. The thread controller is configured to assign each of multiple hardware processing threads to a corresponding one of multiple register block sets in which each register block set includes at least two of multiple register blocks and in which each register block includes at least two registers. The aliasing circuitry is programmable to redirect a reference provided by a first hardware processing thread to a register of a register block assigned to a second hardware processing thread. The reference may be a register number in an instruction issued by the first hardware processing thread. The register number is converted by the aliasing circuitry to a register file address locating a register of the register block assigned to the second hardware processing thread. The aliasing circuitry may include a programmable register for one or more threads.

Abstract: Devices, systems, and methods are directed to binder jetting for forming three-dimensional parts having controlled, macroscopically inhomogeneous material composition. In general, a binder may be delivered to each layer of a plurality of layers of a powder of inorganic particles. An active component may be introduced, in a spatially controlled distribution, to at least one of the plurality of layers such that the binder, the powder of inorganic particles, and the active component, in combination, form an object. The object may be thermally processed into a three-dimensional part having a gradient of one or more physicochemical properties of a material at least partially formed from thermally processing the inorganic particles and the active component of the object.

Abstract: A computing device includes a hardware switch that is activated when a primary Basic Input/Output System (BIOS) of a first BIOS chip of the device fails to load an Operating System (OS) image from an OS partition of a hard drive. The switch passes control to a backup BIOS that executes from a backup BIOS chip. The backup BIOS loads a recovery image from BIOS recovery partition of the hard drive, which causes a reflash application to execute from the recovery image. Reflash application obtains a recovery BIOS from the BIOS recovery partition of the hard drive, reflashes/writes the recovery BIOS onto the first BIOS chip and reboots the device. Following reboot of the device, recovery BIOS loads the OS image from the OS partition, and recovery BIOS becomes the primary BIOS on the first BIOS chip of the device.

Abstract: Fabrics that are exhibit water repellency, abrasion resistance, and optionally flame resistance are described herein. The fabrics include a plurality of fibers (such as flame resistant fibers) and a finish that imparts water repellency and abrasion resistance to the fibers. The fabrics are free or substantially free from alkylfluoropolymers. Also described herein are garments including the fabrics.

Abstract: Devices, systems, and methods for operating a building management system using a lighting control interface are described herein.

Abstract: This invention relates to cellulosic fibers, containing incorporated indigo pigments in the oxidized form, wherein the fibers are made according to a modal process, show a tenacity (conditioned) of at least 29 cN/tex and a wet modulus according to BISFA of at least 5 cN/tex/%. Furthermore, the invention relates to the manufacture and the use of such fibers in fabrics.

Abstract: Systems and techniques are provided for trust agents. Trust agents may be enabled. A state determination may be received from each of the enabled trust agents. The state determination may indicate either a trusted state or an untrusted state. The received state determinations may be combined to determine a security state. A security measure may be enabled or disabled based on the determined security state.

Abstract: Compositions comprising bile acids or their salts and methods of use thereof for the treatment of residual lesions of vascular anomalies.

Abstract: Combining at least one centrifugal compression stage and at least one positive displacement compression stage in an integrally geared compressor to allow for different types of compression based on a temperature or a volume of gas to be compressed by the integrally geared compressor.

Abstract: A wheel assembly and method of assembling the same for use with an airless or non-pneumatic tyre. The assembly includes a rim member and at least one locking or retaining member. The rim member includes a first portion at least part of which is adapted to be attached to an axle in use, and at least part of the locking member is configured to detachably attach to at least part of the first portion of the rim member. Attachment to the rim member assists in retaining the tyre in position on rim member and/or the wheel assembly in use.

Abstract: The present application encompasses methods and apparatus for heating a load such as clothes immersed in a medium such as water during a heating period. A method embodiment of the present invention comprises heating the load and medium within an enclosure by subjecting said load and medium to heated air originated from a conventional energy source; and applying heat to said load and medium within the enclosure via an AC electrical field, embodied as a capacitor, originated from an RF power source.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for verifying record data. An example method includes creating the plurality of datasets ranked by the dataset risk level, receiving a dataset from a plurality of datasets ranked by a dataset risk level, where the dataset includes one or more records and each record including data elements. The example method further includes applying a set of rules to the data elements of the one or more records to identify anomalous data elements, and displaying an association between each anomalous data element and each corresponding rule violation, where each anomalous data element is associated with a data element risk.

Abstract: Apparatus having model-based machine learning and inferencing logic for controlling object transfer, comprises: an image input component to receive image data derived from a captured image of an object; a captured image classifier to 5 generate a first classification of the object by activating a trained model to analyse the image data; an input component to receive an object identifier for the object; an object identification classifier to generate a second classification of the object according to the object identifier; matching logic to detect failure to reconcile the first and second classification; heuristic logic responsive to the matching logic to 10 determine a causal factor in the failure; and training logic, operable when the heuristic logic determines that a causal factor in the failure to reconcile is a deficient first classification, to provide model training input comprising the image data and the object identifier to the model-based machine learning logic.

Abstract: The present invention relates to compositions comprising an anionic polymer, such as hyaluronate or alginate, a cation such as calcium, an anion such as phosphate, and nucleic acids such as siRNA for the SPARC gene. The compositions are used for delivery of nucleic acids to cells to thereby regulate gene expression and treat diseases such as ocular fibrosis disorders.

Abstract: Various aspects and embodiments of automation in tenancy transitions are described. Among other aspects or features of the embodiments, a computing device in an automation or gateway hub receives and stores automation settings from an automation management service environment over time. The automation settings can include different settings for various states of occupancy of a rental unit or dwelling. For example, the automation settings can include a first set of automation settings, which can be used while the dwelling is occupied, and a second set automation settings for use after the dwelling is no longer occupied. The automation or gateway hub can determine whether a transition has occurred for the dwelling and, in response to the transition, load the different automation settings into one or more home automation devices of the dwelling.

Abstract: A Discrete Sample Introduction Module (DSIM) apparatus includes an internal tubing system to receive into the DSIM apparatus a discrete gas sample having a received concentration. A plurality of valves selectively partitions the internal tubing system to form a plurality of loops corresponding to a plurality of loop volumes to contain the discrete gas sample. The plurality of loop volumes receives a carrier gas to dilute the discrete gas sample to a plurality of preselected dilutions. The DSIM apparatus circulates a given one of the plurality of preselected dilutions for analysis by a spectrometer coupled to the DSIM apparatus.

Abstract: An ear tip includes a body configured to be mounted onto an earbud. The body includes a first end, a second end opposite the first end, and a first wall extending between the first and second ends. The first wall defines and surrounds a hollow passage that is configured to conduct sound waves. The first wall is configured to engage a nozzle on the earbud. The first wall includes a ring that is formed of a rigid material and engages the nozzle. The ring includes at least one C-shaped member with at least one gap and a compliant material is molded around the ring and fills the gap.

Abstract: Provided is machine learning apparatus comprising: a dataset for input to a training procedure of a machine learning model; data capture logic operable to capture from an object at least one datum for inclusion in the dataset; association logic operable to derive an additional characteristic of the object; annotator logic operable in response to the data capture logic and the association logic to create an annotation linking the additional characteristic with the at least one datum; storage logic operable to store the or each datum with an associated annotation in the dataset; and input logic to supply the dataset as machine learning input.

Abstract: A computer-implemented method comprises obtaining first data comprising a first collection of coordinate data representing a position, or positions, of a first group of one or more objects detected in a first frame of a scene and obtaining second data comprising a second collection of coordinate data representing a position, or positions, of a second group of one or more objects detected in a second frame of the scene, wherein the second frame represents a different view of the scene than the first frame. The method further comprises determining whether any of the first group of objects correspond to any of the second group of objects in the scene based on the first collection of coordinate data and the second collection of coordinate data, wherein the first frame and the second frame are obtained from image data captured from a single camera position.