Abstract: The present invention relates to methods of producing a food or malt-based beverage suitable for consumption by a subject with a non-coeliac gastrointestinal sensitivity. In particular, the present invention relates to methods of producing a food or malt-based beverage from barley grain comprising reduced levels of one or more alpha-amylase/trypsin inhibitors. Also provided is barley grain that can be used in the methods of the invention.

Abstract: Provided herein are integrated methods and systems for the production of acrylamide and acrylonitrile compounds and other compounds from at least beta-lactones and/or beta-hydroxy amides.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.

Abstract: Methods, systems, and devices for wireless communication are described to support entering a fast-negative acknowledgement (NACK) mode. A user equipment (UE) may enter a fast-NACK mode and may decrease a value of a respective timer for one or more wireless connections (e.g., may override the timer independently for each connection). The timer may be referred to as a retransmission request time duration. If configured with two or more component carriers (CCs), the UE may determine a value of the timer based on a location of a data hole within the two or more CCs. Based on entering the fast-NACK mode, the UE may override a configured timer for the respective wireless connection with a new, shorter timer. Based on expiration of the new timer, the UE may transmit an RLC NACK to a base station via the corresponding wireless connection.

Abstract: A Smart Products Lifecycle Management (sPLM) system that is built upon the smart component data model and the NPD3 process model, is enabling engineers, data scientists, and other stakeholders to collaborate on a common platform to develop smart products. The sPLM system is validated by applying it to unmanned aircraft systems (UAS) development and operations, referred to as UsPLM. The UsPLM has shared lifecycle management functions that are provided as web services and can be applied to all digital models of UAS devices, software, autonomy functions, and missions. The individual models can be versioned, tracked, and be composed with other compatible models, if needed. The rule and scoring engines embedded in the UsPLM allow building and executing configuration rules, regulation rules, and various machine-learning models. This facilitates modular UAS architecture design so that the UAS has the flexibility to be reconfigured for various mission applications.

Abstract: A pagewide array (PWA) print bar of a printing device prints a calibration pattern on a print medium. The print bar is nominally perpendicular to a media advancement direction in which the print medium advances relative to the PWA print bar during printing. An image of the printed calibration pattern is optically scanned, and a skew angle by which the PWA print bar deviates from true perpendicular to the media advancement direction is calculated based on the optically scanned image. The printing device is calibrated to compensate for the calculated skew angle during subsequent printing.

Abstract: A print material usage estimation device may comprise a first usage meter to measure a first print material usage associated with print material deposition on a print medium over a specified time period. 5 The print material usage estimation device may further comprise a second usage meter to measure a second print material usage associated with other printer processes over the specified time period. The print material usage estimation device may further comprise a ratio calculator to calculate a ratio between second print material usage and first print material usage over the specified time period. The print 10 material usage estimation device may further comprise an estimator to estimate total print material usage for an instructed print job based on a predetermined first print material usage for the print job and the calculated ratio.

Abstract: A computer implemented method determines a placement of an application being added to a network. The method includes determining a logical-physical mapping for the application. Sub-graphs in the logical-physical mapping are identified. A stored application in a catalog of applications previously used in the network is located. The stored application includes one of the sub-graphs in the logical-physical mapping. An experiment is generated, performed by a computing device running a neural network model, using the sub-graphs. The experiment includes inducing a physical node mapping for the sub-graph. A cost function associated with a placement of the application being added to the network to one or more physical nodes in the induced physical node mapping is determined.

Abstract: Provided herein are integrated methods and systems for the production of acrylamide and acrylonitrile compounds and other compounds from at least beta-lactones and/or beta-hydroxy amides.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and a device are provided. The device determines one or more feature components of firmware of a BMC to be tested. The device also determines a respective QA category from a plurality of QA categories for each of the one or more feature components. Each of the plurality of QA categories is associated with a set of feature components and a set of the test cases. The device further determines respective at least one test case for each of the one or more feature components based on the respective QA category of the each feature component. The test case specifies hardware and a procedure to be used to test the each feature component.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into a vector, building a search index using the one or more vectors of the structured text documents stored in the database, then receiving a new structured text document, converting the structured text document into a vector, then searching the search index using the one or more vectors of the new structured text document, and generating a list of N structured text document from the database similar to the new structured text document based on said search

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, training a machine learning model to associate structured text document vectors with the journals said structured text document were published in; receiving an additional structured text document, converting said additional structured text document into one or more vectors, and processing the additional structured text document through the trained machine learning model to identify an appropriate journal for publication. Systems and computer-readable media implementing the method are also disclosed.

Abstract: A method is disclosed, involving converting at least one structured text document stored in a database into one or more vectors, training a machine learning model to associate the at least one vector with the editors for that structured text document, training a machine learning model to associate the at least one vector with the editors for that structured text document, receiving a second structured text document and converting said second structured text document into one or more vectors, then processing the one or more vectors of the unpublished structured text documents through the trained machine learning model to identify appropriate editor teams, before finally sending the unpublished structured text documents to a computer device associated with an editor.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, using the vectors of the structured text documents stored in a database to create a similarity search index, then for each structured text document from the database, searching the search index using the one or more vectors of the structured text document in order to generate a list of N other structured text document from the database similar to the structured text document based on said search; an storing each list of N other structured text document from the database similar to the structured text document in a table.

Abstract: Systems and methods for obtaining optimal mother wavelets for facilitating machine learning tasks. The traditional systems and methods provide for selecting a mother wavelet and signal classification using some traditional techniques and methods but none them provide for selecting an optimal mother wavelet to facilitate machine learning tasks. Embodiments of the present disclosure provide for obtaining an optimal mother wavelet to facilitate machine learning tasks by computing values of energy and entropy based upon labelled datasets and a probable set of mother wavelets, computing values of centroids and standard deviations based upon the values of energy and entropy, computing a set of distance values and normalizing the set of distance values and obtaining the optimal mother wavelet based upon the set of distance values for performing a wavelet transform and further facilitating machine learning tasks by classifying or regressing, a new set of signal classes, corresponding to a new set of signals.

Abstract: An image processing method is disclosed. The method includes receiving information relating to a print component to be used to print a target image; determining, based on the received information relating to the print component, half-toning parameters to be applied when generating a half-tone representation of the target image; and generating, using the determined half-toning parameters, a half-tone representation of the target image. An apparatus and a machine-readable medium are also disclosed.

Abstract: This disclosure relates generally to composite polymer product applications. In one embodiment, a composite polymer flooring tile is disclosed, comprising: a core layer; a print layer applied to a surface of the core layer, the print layer including a decorative design; a wear layer applied to a surface of the print layer; a primer layer applied to a surface of the wear layer; a sanding layer applied to a surface of the primer layer, wherein the sanding layer includes a surface smoothened by sandblasting; an abrasive layer applied to the smoothened surface of the sanding layer, the abrasive layer including wear resistant particles; and a gloss layer applied to a surface of the abrasive layer; wherein a gloss level of the tile is at least 90% at 60° as measured according to ASTM D523 and EN 16094; and wherein the tile meets EPLF abrasion criteria (“AC”) rating of at least AC3.

Abstract: A plastic card personalization system with a drop-on-demand plastic card print station that prints radiation curable material, a plasma treatment station, and a radiation curing station. By using a combination of controlling plasma treatment conditions on the surface of the plastic card prior to DOD printing together with controlling the dwell time of the printed material applied to the plastic card prior to full curing of the printed material, a surprising and unexpected improvement of the adhesion of the printed material to the plastic card is achieved.

Abstract: A computer-implemented method and a computer system establish network slices within a physical network having a plurality of network elements. The method includes receiving a request to instantiate a network slice at a network element. The method also includes determining a performance metric of the network element. The method further includes delaying instantiation of the requested network slice within the network element in response to determining that the performance metric of the network element is below a threshold. The method also includes instantiating the requested network slice within the network element in response to determining that the performance metric of the network element is at or above the threshold. Finally, the method includes deactivating the requested network slice in response to determining that the performance metric of the network element is below the threshold at a time subsequent to instantiating the requested network slice.

Abstract: Methods, systems, and devices for wireless communications are described. Multiple reference signal occasions may occur during an inactive period of a discontinuous reception cycle configured for a wireless device. An amount of time the UE will be awake during the discontinuous reception cycle if the UE wakes up during a reference signal occasion of the multiple reference signal occasions may be determined for each of the reference signal occasions. The UE may wake up during the reference signal occasion associated with the shortest amount of awake time relative to the other reference signal occasions.