Abstract: During an uplink TDD slot, an UL UE transmits an UL signal that occupies a slot frequency range. Similarly, during a DL TDD slot, a DL UE receives a DL signal that occupies the slot frequency range. But during an SBFD slot, a UL UE transmits a UL signal that occupies only a first sub-band of the slot frequency range. Similarly, a DL UE receives a DL signal during an SBFD slot that occupies only a second sub-band of the slot frequency range. The second sub-band is distinct from the first sub-band. The DL UE may thus mitigate UE-to-UE interference during an SBFD slot by filtering the DL signal to substantially block the second sub-band from being received at the DL UE.

Abstract: Systems and methods are disclosed for processing medical claims to determine vector embeddings for predictive analytics and fraud detection. The method includes receiving claim data for a medical claim, the claim data comprising a plurality of medical codes. A plurality of embedding vectors is determined based on the plurality of medical codes, each embedding vector determined based on a corresponding medical code. A multi-layered matrix is determined based on the plurality of embedding vectors determined for the plurality of medical codes, wherein the multi-layered matrix is representative of the medical claim. One or more actions such as predictive analytics and fraud detection are performed based on the multi-layered matrix.

Abstract: Disclosed herein are immunoassay methods and reagents for detecting anti-Zika IgM antibody in a biological sample from a subject and/or diagnosing Zika virus infection in a subject. Also disclosed are algorithms for implementing the disclosed methods. The disclosed immunoassay methods, reagents, and algorithms enable efficient and reliable qualitative detection of anti-Zika virus antibodies and rapid determination of presumptive positive results for Zika virus infection in human subjects.

Abstract: Techniques for constructing transaction lock wait history showing blocker queries are described. A first transaction referencing a resource saved in a network-based data warehouse is received where the first transaction being blocked due to second transaction accessing the resource. A first telemetry event based on the first transaction being blocked is transmitted. After acquiring lock ownership of the resource by the first transaction, a second telemetry event based on acquiring lock ownership by the first transaction is transmitted.

Abstract: A system identifies a video comprising frames associated with content tags. The system detects features for each frame of the video. The system identifies, based on the detected features, scenes of the video. The system determines, for each frame for each scene, a frame score that indicates a number of content tags that match the other frames within the scene. The system selects, for each scene, a set of key frames that represent the scene based on the determined frame scores. The system receives a search query comprising a keyword. The system generates, for display, search results responsive to the search query including a dynamic preview of the video. The dynamic preview comprises an arrangement of frames of the video corresponding to each scene of the video. Each of the arrangement of frames is selected from the selected set of key frames representing the respective scene of the video.

Abstract: As described herein, various embodiments of the present invention disclose techniques that improve efficiency of performing image-based machine learning operations on large images while limiting accuracy drawbacks of partial processing of those large images by using composite-tiled image embeddings for composite-tiled images generated by merging multiple tiled images that are generated using multiple tiling mechanisms. For example, in some embodiments, given an input image that comprises R image regions, each tiled image comprises N selected image regions of the R image regions that are selected in accordance with a tiling mechanism (where N<R). In this way, given T tiling mechansisms, T tiled images are generated, and the T tiled images are merged to generate a composite-tiled image. Accordingly, by using T tiling mechansisms, various embodiments enable reducing the size of feature data provided to an image processing machine learning model by selecting non-holistic subsets of an input image.

Abstract: Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.

Abstract: Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.

Abstract: Embodiments of the present invention are directed towards providing contextual tags for an image based on a contextual analysis of associated images captured in the same environment as the image. To determine contextual tags, content tags can be determined for images. The determined content tags can be associated with categories based on a contextual classification of the content tags. These associated content tags can then be designated as contextual tags for a respective category. To associate these contextual tags with the images, the images can be iterated through based on how the images relate to the contextual tags. For instance, when an image is associated with a category, the contextual tags classified into that category can be assigned to that image.

Abstract: This disclosure relates generally to creating and managing cloud infrastructure, and more specifically, integrating one or more cloud infrastructure tools for building cloud infrastructures. An example method includes, receiving a request to deploy a cloud infrastructure on a cloud service provider based on a cloud template of the cloud management platform; transmitting configuration instructions associated with a cloud infrastructure tool to a container orchestration platform for execution on one or more containers running on the container orchestration platform to deploy the cloud infrastructure; receiving a deployment state of the cloud infrastructure on the cloud service provider from the container orchestration platform following execution of the configuration instructions; and reporting a status of the cloud infrastructure based on the deployment state.

Abstract: Disclosed herein are immunoassay methods and reagents for detecting anti-Zika IgM antibody in a biological sample from a subject and/or diagnosing Zika virus infection in a subject. Also disclosed are algorithms for implementing the disclosed methods. The disclosed immunoassay methods, reagents, and algorithms enable efficient and reliable qualitative detection of anti-Zika virus antibodies and rapid determination of presumptive positive results for Zika virus infection in human subjects.

Abstract: There is a need for more effective and efficient predictive data analysis. This need can be addressed by, for example, solutions for performing/executing cross-geographical predictive data analysis that enhance network transmission efficiency. In one example, a method includes determining forecasted superior domain event data for a hierarchically superior geographic domain at a forecasting period; determining forecasted inferior domain event data for each hierarchically inferior geographic domain associated with the hierarchically superior geographic domain at the forecasting period; determining confirmed inferior domain event data based at least in part on each hierarchically inferior geographic domain; and performing prediction-based actions based at least in part on each confirmed inferior domain event data.

Abstract: Some implementations include methods for communicating features of images to visually impaired users. An image to be displayed on a touch sensitive screen of a computing device may include one or more objects. Each of the one or more objects may be associated with a bounding box. A contact with the image may be detected via the touch sensitive screen. The contact may be determined to be within a bounding box associated with a first object of the one or more objects. Responsive to detecting the contact to be within the bounding box associated with the first object, a caption of the first object may be caused to become audible and the touch sensitive screen may be caused to vibrate based on a vibration pattern unique to the first object.

Abstract: This disclosure relates generally to creating and managing cloud infrastructure, and more specifically, integrating one or more cloud infrastructure tools for building cloud infrastructures. An example method includes, receiving a request to deploy a cloud infrastructure on a cloud service provider based on a cloud template of the cloud management platform; transmitting configuration instructions associated with a cloud infrastructure tool to a container orchestration platform for execution on one or more containers running on the container orchestration platform to deploy the cloud infrastructure; receiving a deployment state of the cloud infrastructure on the cloud service provider from the container orchestration platform following execution of the configuration instructions; and reporting a status of the cloud infrastructure based on the deployment state.

Abstract: This relates generally to create and manage cloud infrastructure, and more specifically, intelligently integrating one or more cloud infrastructure tools for creating cloud infrastructures.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of techniques using time bound code transition likelihood data objects, techniques using cross-code relationship values, techniques using augmented entity-code occurrence data objects, techniques using per-pathway text representations of inferred occurrence pathways of a one or more individual historic code occurrences, techniques using polygenic risk score (PRS) measures, and/or the like.

Abstract: There is a need for more effective and efficient predictive data analysis. This need can be addressed by, for example, solutions for performing/executing cross-geographical predictive data analysis that enhance network transmission efficiency. In one example, a method includes determining forecasted superior domain event data for a hierarchically superior geographic domain at a forecasting period; determining forecasted inferior domain event data for each hierarchically inferior geographic domain associated with the hierarchically superior geographic domain at the forecasting period; determining confirmed inferior domain event data based at least in part on each hierarchically inferior geographic domain; and performing prediction-based actions based at least in part on each confirmed inferior domain event data.

Abstract: A system identifies a video comprising frames associated with content tags. The system detects features for each frame of the video. The system identifies, based on the detected features, scenes of the video. The system determines, for each frame for each scene, a frame score that indicates a number of content tags that match the other frames within the scene. The system selects, for each scene, a set of key frames that represent the scene based on the determined frame scores. The system receives a search query comprising a keyword. The system generates, for display, search results responsive to the search query including a dynamic preview of the video. The dynamic preview comprises an arrangement of frames of the video corresponding to each scene of the video. Each of the arrangement of frames is selected from the selected set of key frames representing the respective scene of the video.

Abstract: Certain embodiments involve adaptive search results for multimedia search queries to provide dynamic previews. For instance, a computing system receives a search query that includes a keyword. The computing system identifies, based on the search query, a video file having keyframes with content tags that match the search query. The computing system determines matching scores for respective keyframes of the identified video file. The computing system generates a dynamic preview from at least two keyframes having the highest matching scores.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate dynamic tool-based animated tutorials. In particular, in one or more embodiments, the disclosed systems generate an animated tutorial in response to receiving a request associated with an image editing tool. The disclosed systems then extract steps from existing general tutorials that pertain to the image editing tool to generate tool-specific animated tutorials. In at least one embodiment, the disclosed systems utilize a clustering algorithm in conjunction with image parameters to provide a set of these generated animated tutorials that showcase diverse features and/or attributes of the image editing tool based on measured aesthetic gains resulting from application of the image editing tool within the animated tutorials.