Abstract: The present invention is directed to curable film-forming compositions and coating kits, each comprising: (a) a polyepoxide functional polymer; (b) a polythiol functional compound, wherein the polythiol functional compound comprises at least two or at least three thiol functional groups and wherein if the polythiol functional compound contains hydroxyl functional groups, the ratio of thiol functional groups to hydroxyl functional groups within the polythiol functional compound is not 1:1; (c) a reactive compound different from the polythiol functional compound (b), containing multiple pendant and/or terminal functional groups selected from carboxylic acid, anhydride, amine and phenol that are reactive with epoxide functional groups; and (d) a pigment. The curable film-forming composition demonstrates a pigment to binder ratio greater than or equal to 2 and less than 3, adhesion to diverse substrates, and fast sandability.

Abstract: An ophthalmic device includes an optic including an optic axis and a closed-loop haptic structure coupled to the optic via a frame surrounding the optic, the closed-loop haptic structure including a closed loop extending from first and second attachment points to the frame. The closed loop includes a first hinge and a second hinge. The first hinge has a first section having a first component extending in a first angular direction, a second section having a second component extending in a second angular direction opposite to the first angular direction, and a first connecting section between the first section and the second section. The second hinge has a third section having a third component extending in the second angular direction, a fourth section having a fourth component extending in the first angular direction, the fourth section being connected to the second section to form the closed loop.

Abstract: A garment and sensor system for determining a posture of an individual, the garment and sensor system including a garment, a retention element coupled to the garment, and a sensor module configured to be coupled to the retention element, the sensor module including a sensor configured to generate orientation data and a transceiver configured to transmit the orientation data generated by the sensor, wherein the garment and sensor system is configured to determine a posture of at least a portion of the individual and to display a graphical comparison of the posture to a target posture.

Abstract: A technique for controlling access to one or more attractions is achieved using a number of access keys, each being issued to one or more users. An electronic queue management part manages a virtual queue in respect of each attraction and receives electronic requests for attraction access, each request relating to an access key and being for the users associated with it to access a particular attraction. Receipt of each request causes the respective users to be added to a corresponding virtual queue. A time at which each group of users reaches the front of the virtual queue and can access the attraction is determined. The users access the attractions by presenting an access key to an access control part, in communication with the electronic queue management part. Only a user presenting an access key at the correct time for accessing the attraction is allowed access to the attraction.

Abstract: A system for cooling a hermetic motor includes a motor cooling refrigerant flow path configured to direct refrigerant from a condenser disposed along a refrigerant loop to a hermetic motor, and from the hermetic motor back to the refrigerant loop, and a housing of the hermetic motor disposed along the motor cooling refrigerant flow path and configured to receive the refrigerant from the condenser, wherein the housing of the hermetic motor comprises an annulus surrounding at least a portion of a stator of the hermetic motor, and wherein the annulus comprises a plurality of openings configured to direct refrigerant toward the stator and into a cavity of the housing of the hermetic motor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining principal components of a data set using multi-agent interactions.

Abstract: Methods for nanopore-based protein analysis are provided. The methods address the characterization of a target protein analyte, which has a dimension greater than an internal diameter of the nanopore tunnel, and which is also physically associated with a polymer. The methods further comprise applying an electrical potential to the nanopore system to cause the polymer to interact with the nanopore tunnel. The ion current through the nanopore is measured to provide a current pattern reflective of the structure of the portion of the polymer interacting with the nanopore tunnel. This is used as a metric for characterizing the associated protein that does not pass through the nanopore.

Abstract: An apparatus supports decoding and execution of a bulk memory instruction specifying a block size parameter. The apparatus comprises control circuitry to determine whether the block size corresponding to the block size parameter exceeds a predetermined threshold, and performs a micro-architectural control action to influence the handling of at least one bulk memory operation by memory operation processing circuitry. The micro-architectural control action varies depending on whether the block size exceeds the predetermined threshold, and further depending on the states of other components and operations within or coupled with the apparatus. The micro-architectural control action could include an alignment correction action, cache allocation control action, or processing circuitry selection action.

Abstract: Using a deep learning inference system, respective similarities are measured for each of a set of intermediate representations to input information used as an input to the deep learning inference system. The deep learning inference system includes multiple layers, each layer producing one or more associated intermediate representations. Selection is made of a subset of the set of intermediate representations that are most similar to the input information. Using the selected subset of intermediate representations, a partitioning point is determined in the multiple layers used to partition the multiple layers into two partitions defined so that information leakage for the two partitions will meet a privacy parameter when a first of the two partitions is prevented from leaking information. The partitioning point is output for use in partitioning the multiple layers of the deep learning inference system into the two partitions.

Abstract: Techniques for sending prompt data related to content output on a voice-controlled device are described. In an example, a computer system receives request for audio output at a user device. The computer system determines a recommendation for content. The computer system also generates customization data for prompt data based on one or more user features, context features, metadata features, and a history of customization data. The prompt data includes the customization data and an acknowledgement associated with the request. The computer system sends the prompt data to the user device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting an input vocabulary for a machine learning model using power indices. One of the methods includes computing a respective score for each of a plurality of text tokens in an initial vocabulary and then selecting the text tokens in the input vocabulary based on the respective scores.

Abstract: A technique for controlling access to one or more attractions is achieved using a number of access keys, each being issued to one or more users. An electronic queue management part manages a virtual queue in respect of each attraction and receives electronic requests for attraction access, each request relating to an access key and being for the users associated with it to access a particular attraction. Receipt of each request causes the respective users to be added to a corresponding virtual queue. A time at which each group of users reaches the front of the virtual queue and can access the attraction is determined. The users access the attractions by presenting an access key to an access control part, in communication with the electronic queue management part. Only a user presenting an access key at the correct time for accessing the attraction is allowed access to the attraction.

Abstract: A sports ball, for example a soccer ball, comprising a hollow shell and a pit suspended within the hollow shell by a plurality of cords. In some embodiments, the plurality of cords may comprise a first end coupled to the hollow shell at a first location, a second end coupled to the hollow shell at a second location, and a center portion coupled to the pit. In some embodiments, the pit may be suspended within the hollow shell by a plurality of cords, with each of the plurality of cords comprising a frayed end secured to the hollow shell at one of a plurality of spaced apart locations.

Abstract: Processing circuitry performs a processing operation to generate a two's complement result value representing a positive or negative number in two's complement representation. Normalization-and-rounding circuitry converts the two's complement result value to a normalized-and-rounded floating-point result value represented using sign-magnitude representation. The normalization-and-rounding circuitry comprises incrementing circuitry to perform an increment addition (e.g. a rounding increment or a conversion increment) to generate a fraction of the normalized-and-rounded floating-point result value. For an operation where the increment addition is required to be performed, tininess detection circuitry detects the after-rounding tininess status based on a still-to-be-incremented version of the normalized-and-rounded floating-point result value prior to the increment addition by the increment circuitry.

Abstract: One or more computing devices, systems, and/or methods for mailbox-based coupon display are provided. For example, a plurality of email messages stored in a mailbox of a first email account of a first user may be identified, and may be evaluated to identify a plurality of coupons. The plurality of coupons may be analyzed to determine one or more coupon features. User data and/or activity data associated with the first user may be analyzed to determine one or more user features. A predictive model may be tuned based upon the one or more coupon features and/or the one or more user features. A set of scores may be generated for the plurality of coupons based upon the predictive model. A graphical user interface may be controlled based upon the set of scores to display one or more coupons.

Abstract: A method, computer system, and a computer program product for data processing, comprising obtaining a plurality of files from a data source. These files are analyzed the files for information about the content and in order to determine structural information of each file. Once the files have been analyzed, information in each file may be sorted and categorized by common content. Sensitive information may also be extracted and categorized separately. Information may then be then merged using the categories to create a single unified file.

Abstract: A neural network is augmented to enhance robustness against adversarial attack. In this approach, a fully-connected additional layer is associated with a last layer of the neural network. The additional layer has a lower dimensionality than at least one or more intermediate layers. After sizing the additional layer appropriately, a vector bit encoding is applied. The encoding comprises an encoding vector for each output class. Preferably, the encoding is an n-hot encoding, wherein n represents a hyperparameter. The resulting neural network is then trained to encourage the network to associated features with each of the hot positions. In this manner, the network learns a reduced feature set representing those features that contain a high amount of information with respect to each output class, and/or to learn constraints between those features and the output classes. The trained neural network is used to perform a classification that is robust against adversarial examples.

Abstract: A sensor garment for monitoring an individual engaged in an athletic activity includes a garment formed of textile material, and a sensor module inseparably coupled to the textile material of the garment. The sensor module includes a single-purpose sensor configured to sense a single characteristic, and a radio antenna configured to transmit data generated by the single-purpose sensor. The sensor module includes no external port.

Abstract: Systems, devices, and methods for a sensor pair, where the sensor pair comprises: an emissions sensor configured to generate trace gas data; a wind sensor configured to generate wind data, where the wind data comprises wind speed and wind direction; and a position data, where the position data comprises a location corresponding to the generated trace gas data and generated wind data.

Abstract: A system, method and computer program product for detecting indicators for structural changes of NMR active test molecules in a test sample, or indicators for structural changes of the environment of said test molecules in relation to a reference molecule. Initial local similarity values are obtained, using a similarity function and representing a local similarity between a reference spectrum and a test spectrum within corresponding similarity regions (SRR, SRT). The initial local similarity values represent a similarity map (SM1) in which contours of a first shape type are indicators (I1) for structural changes of the test molecule, and in which contours of a second shape type are indicators (I2) for structural changes of the environment of said test molecule in relation to the reference molecule.