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: 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: 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: 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.

Abstract: This relates generally to create and manage a cloud infrastructure using a cloud infrastructure tool. An example method includes, at a server associated with a cloud management platform, receiving a configuration file associated with a cloud infrastructure tool describing a desired state of a cloud infrastructure; creating a cloud template based on the configuration file; determining cloud resources for achieving the desired state of the cloud infrastructure based on the cloud template; for each of the cloud resources: determining a type of the cloud resource; identifying a native resource associated with the cloud management platform based on the type of the resource; mapping an identification of the native resource to the cloud resource; and storing the mapping between the cloud resource and the native resource in a non-native format; and displaying a graphical user interface configured to display a topology for the cloud resources and the cloud infrastructure tool.

Abstract: There is a need for more accurate and more efficient predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes mapping a primary event having a primary event code to a related subset of a plurality of candidate secondary events by at least processing one or more lifecycle-related attributes for the primary event code using a lifecycle inference machine learning model to detect an inferred lifecycle for the primary event.

Abstract: An image editing program can include a content-aware selection system. The content-aware selection system can enable a user to select an area of an image using a label or a tag that identifies object in the image, rather than having to make a selection area based on coordinates and/or pixel values. The program can receive a digital image and metadata that describes an object in the image. The program can further receive a label, and can determine from the metadata that the label is associated with the object. The program can then select a bounding box for the object, and identify in the bounding box, pixels that represent the object. The program can then output a selection area that surrounds the pixels.

Abstract: Methods, systems, and computer storage media for providing tool tutorials based on tutorial information that is dynamically integrated into tool tutorial shells using graphics editing system operations in a graphics editing systems. In operation, an image is received in association with a graphics editing application. Tool parameters (e.g., image-specific tool parameters) are generated based on processing the image. The tool parameters are generated for a graphics editing tool of the graphics editing application. The graphics editing tool (e.g., object removal tool or spot healing tool) can be a premium version of a simplified version of the graphics editing tool in a freemium application service. Based on the tool parameters and the image, a tool tutorial data file is generated by incorporating the tool parameters and the image into a tool tutorial shell. The tool tutorial data file can be selectively rendered in an integrated interface of the graphics editing application.

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: Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.

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: 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: 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.