Abstract: Disclosed aspects include computer-implemented method for preventing Carpal Tunnel Syndrome (CTS), a computer program product, and a laptop computer. One embodiment of the method may comprise collecting, by a device having an associated keyboard, data of a user's interaction with the keyboard. The method may further comprise analyzing, by a first machine learning model, the audiovisual data to identify ergonomic issues in the user's interaction with the keyboard. The method may further comprise notifying the user of the identified ergonomic issues in real time.

Abstract: An apparatus includes circuitry configured to: receive a request from a radio access network algorithm to determine whether there is a distribution shift related to a temporal characteristic of a cell of a communication network; request data from a radio access network node or a controller platform related to the temporal characteristic; receive the requested data related to the cell from the radio access network node or the controller platform; determine whether there is a distribution shift related to the temporal characteristic; in response to determining that there is a distribution shift, select a learning type for an update to a model; and update the model such that, when the model is provided to an inference server, causes the radio access network algorithm to use the updated model to perform at least one action to optimize the performance of the radio access network node or other radio access network node.

Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.

Abstract: Present disclosure discloses a system for separating hydrogen from feed gas. The system includes at least one compressor adapted to pressurize the feed gas to predefined pressure. One or more adsorber columns are fluidly coupled to the compressor and are adapted to receive the pressurized feed gas, where the adsorber columns include a body and an adsorber bed, which is disposed within the body. The adsorber bed is configured to separate hydrogen from the feed gas. Further, the one or more adsorber columns includes a plurality of channels defined in at least one of the adsorber bed and adjacently along a length of the adsorber bed, where the channels are configured to channelize the hydrogen and regulate temperature of the adsorber bed. The configuration of the system aids in extracting pure hydrogen at low feed gas pressure.

Abstract: A multi-band antenna system is provided. The antenna system can be placed under and embedded within a glass exterior surface of a vehicle. Such an antenna system can include a capacitively coupled metallic element on or adjacent to the glass exterior surface, which can serve as both a parasitic element to enhance gain and as a heating element to melt snow and/or ice accumulation over the glass area that covers the antenna. In certain applications, the antenna's structure itself can be used as a heater to improve performance in adverse weather conditions while the heating elements are positioned away from the thermally sensitive electronics. The antenna system with integrated heating can include a spiral antenna.

Abstract: A hood assembly for a heating, ventilation, and air conditioning (HVAC) unit includes a top panel comprising a first panel portion and a second panel portion adjustably coupled to one another, wherein the top panel is configured to rotatably couple to a housing of the HVAC unit. The hood assembly further includes a filter frame rotatably coupled to the top panel, wherein the filter frame is configured to support at least one filter. The hood assembly is adjustable between a collapsed configuration and a deployed configuration, the first panel portion and the second panel portion are configured to translate relative to one another during transition of the hood assembly between the collapsed configuration and the deployed configuration, and the top panel is configured to contain the filter frame within the housing in the collapsed configuration.

Abstract: This disclosure provides novel peptide hydrogels containing encapsulated nanoparticles comprising nucleic acid molecules (such as miRNA) that can undergo multiple gel-to-solution (gel-sol) and solution-to-gel (sol-gel) phase transitions, and their use, such as for controlled delivery of nucleic acid molecules to a subject.

Abstract: A video coder may be configured to code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: A system that can generate unique identifiers for individual real estate parcels and/or individual structure(s) located on individual real estate parcels using geometric land and/or building information is described. For example, the system can obtain geographical coordinate information and/or topological information that defines a two-dimensional or three-dimensional boundary of a parcel. The system can then determine and assign a unique identifier to the parcel, where the unique identifier is based on the two-dimensional or three-dimensional boundary. As another example, the system can obtain geographical coordinate information and/or structure architectural plans that define a two-dimensional or three-dimensional boundary of a structure. The system can then determine and assign a unique identifier to the structure, where the unique identifier is based on the two-dimensional or three-dimensional boundary of the structure.

Abstract: A computer-implemented method can include: receiving a request from an entity to submit a wager corresponding to an electronic game to be executed on a remote electronic gaming device; inputting the wager into a queue corresponding to at least one of the remote electronic gaming device or the electronic game; receiving a game play outcome of a game play of the electronic game executed on the remote electronic gaming device; generating supplemental game play content associated with execution of at least one of the electronic game or the game play based at least in part on receipt of a second request from the entity; providing at least one of the supplemental game play content or the game play outcome to the entity; and recording on a blockchain, one or more events associated with the wager.

Abstract: A video coder may be configured code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: A video coder may be configured code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: Disposing individual elements within a swarm by receiving location data for swarm elements, receiving network traffic data for the swarm elements, determining new location data for a swarm element according to the location data and network traffic data of the swarm element, and sending the new location data to the swarm element.

Abstract: Techniques are disclosed for creating high value data assets from undervalued data. In one example, a method identifies at least one data asset associated with an enterprise which has a lower non-economic valuation score as compared with one or more other data assets associated with the enterprise and is determined to be undervalued. The method then combines the at least one identified data asset with at least one of the one or more other data assets to form a composite data asset, wherein the composite data asset has a higher non-economic valuation score as compared to the at least one identified data asset.

Abstract: One or more data assets associated with a data repository of a given enterprise is identified. Each of the one or more data assets is tagged with economic driver metadata that links each of the one or more data assets to at least one economic driver category from a plurality of economic driver categories associated with the given enterprise. At least one economic value is calculated for each of the one or more data assets based on the at least one economic driver category linked to each of the one or more data assets. Calculated economic values for the one or more data assets are stored in a valuation data structure.

Abstract: Disposing individual elements within a swarm by receiving location data for swarm elements, receiving network traffic data for the swarm elements, determining new location data for a swarm element according to the location data and network traffic data of the swarm element, and sending the new location data to the swarm element.

Abstract: This disclosure provides novel peptide hydrogels containing encapsulated nanoparticles comprising nucleic acid molecules (such as miRNA) that can undergo multiple gel-to-solution (gel-sol) and solution-to-gel (sol-gel) phase transitions, and their use, such as for controlled delivery of nucleic acid molecules to a subject.

Abstract: A data governance method comprises the following steps. One or more data elements associated with an enterprise are identified as one or more critical data elements. A data structure is maintained for the one or more critical data elements. For a given critical data element, the data structure stores information that reflects an impact that the given critical data element had on at least one event associated with the enterprise. The method predicts a risk associated with a subsequent impact that the given critical data element may have on at least one subsequent event associated with the enterprise, wherein the risk of the subsequent impact is predicted using at least a portion of the information stored in the data structure.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.