Abstract: Embodiments are disclosed for adding node highlighting to vector graphics. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a plurality of anchor points of a vector graphic to be highlighted, generating a graph representing one or more path objects of the vector graphic, each node of the graph corresponding to an anchor point of the one or more path objects and each connection corresponding to a path segment connecting the anchor point to another anchor point, identifying a highlight trajectory including a subset of nodes from the graph, the highlight trajectory including at least a start node and an end node, generating a highlight path including at least one or more highlight nodes corresponding to a subset of nodes from the highlight trajectory, and updating the vector graphic to include the highlight path.

Abstract: Embodiments are disclosed for adding node highlighting to vector graphics. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a plurality of anchor points of a vector graphic to be highlighted, generating a graph representing one or more path objects of the vector graphic, each node of the graph corresponding to an anchor point of the one or more path objects and each connection corresponding to a path segment connecting the anchor point to another anchor point, identifying a highlight trajectory including a subset of nodes from the graph, the highlight trajectory including at least a start node and an end node, generating a highlight path including at least one or more highlight nodes corresponding to a subset of nodes from the highlight trajectory, and updating the vector graphic to include the highlight path.

Abstract: Systems and methods for integrated multi-factor multi-label analysis include using one or more deep learning systems, such as neural networks, to analyze how well one or more entities are likely to benefit from a targeted action. Data associated with each of the entities is analyzed to determine a score for each of the proposed targeted actions using multiple analysis factors. The scores for each analysis factor are determined using a different multi-layer analysis network for each analysis factor. The scores for each analysis factor are then combined to determine an overall score for each of the proposed targeted actions. The entities and the proposed targeted actions with the highest scores are then identified and then used to determine which entities are to be the subject of which targeted actions.

Abstract: Method for machine-assisted automated continuity of conversation between user and software system by identifying parts of the conversation that should be handled by a human health expert. A user utilizes a software system such as virtual assistants, chatbots, voicebots, etc., for working in a specific medical scenario such as counseling, data intake, education, Tele-Health, etc., and the method determines checkpoints when a human health expert should address the users' questions/queries. The method uses a medical scenario classifier to map the user's input. Medical scenarios are tagged if they should be handled by a health expert. A medical scenario database is built and continually updated by ingesting medical literature, ontologies, knowledgebases, etc. A health expert can restore the conversation between the user and the software system as required.

Abstract: Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

Abstract: Systems and methods for closed-loop ultrasound imaging-based control are described herein. An example system includes an ultrasound transducer, and a controller operably coupled to the ultrasound transducer. The controller includes a processor and memory, the memory having computer-executable instructions stored thereon. The controller is configured to receive an ultrasound imaging signal associated with a subject's muscular activity from the ultrasound transducer; process the ultrasound imaging signal to obtain a feedback signal; and control a device interfacing with the subject based on the feedback signal.

Abstract: A process for producing synthesis gas, the process comprising the steps of a) reforming a hydrocarbon feed in a reforming section thereby obtaining a synthesis gas comprising CH4, CO, CO2, H2 and H2O and impurities comprising ammonia;b) shifting the synthesis gas in a shift section comprising one or more shift steps in series to a shifted synthesis gas; c) separating from the shifted synthesis gas a process condensate originating from cooling and optionally washing of the shifted synthesis gas;d) passing the process condensate to a condensate steam stripper, wherein dissolved shift byproducts comprising ammonia, methanol and amines formed during shifting the synthesis gas are stripped out of the process condensate using steam resulting in a stripper steam stream, e) adding a part of the stripper steam stream from the process condensate steam strip-per to the hydrocarbon feed and/or to the synthesis gas downstream the reforming section, up-stream the last shift step, wherein the remaining part of stripper stea

Abstract: Systems and methods for integrated multi-factor multi-label analysis include using one or more deep learning systems, such as neural networks, to analyze how well one or more entities are likely to benefit from a targeted action. Data associated with each of the entities is analyzed to determine a score for each of the proposed targeted actions using multiple analysis factors. The scores for each analysis factor are determined using a different multi-layer analysis network for each analysis factor. The scores for each analysis factor are then combined to determine an overall score for each of the proposed targeted actions. The entities and the proposed targeted actions with the highest scores are then identified and then used to determine which entities are to be the subject of which targeted actions.

Abstract: Embodiments include systems, methods, articles of manufacture, and computer-readable media configured process data in a structured format and an unstructured format and applying one or more algorithms to detect elements and links between the elements in the data. Embodiments are further configured to generate a graph model comprising nodes comprising the elements and edges comprising the links.

Abstract: In general, embodiments of the present disclosure provide for a configurable platform via a relevance test driver. In embodiments, test configuration data associated with at least one test scenario for a relevance service is received via at least one relevance test driver that interfaces with a relevance test service. Additionally, one or more promotions relevant to a user identifier are determined based at least in part on the test configuration data, and output data associated with the one or more promotions is transmitted to the relevance test service.

Abstract: Digital image dynamic shadow generation is described as implemented by a dynamic shadow system using one or more computing devices. The dynamic shadow system is configured to generate shadow objects based on one or more source objects included in a digital image (e.g., a two-dimensional digital image), automatically and without user intervention. The shadow object is based on a shape of the source object that is to “cast” the shadow and thus promotes realism. The shadow object is also generated by the dynamic shadow system to address an environment, in which, the shadow object is disposed within the digital image.

Abstract: Embodiments include systems, methods, articles of manufacture, and computer-readable media configured process data in a structured format and an unstructured format and applying one or more algorithms to detect elements and links between the elements in the data. Embodiments are further configured to generate a graph model comprising nodes comprising the elements and edges comprising the links.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a configurable test environment within which a relevance service can be invoked to execute one or a combination of test scenarios, each test scenario respectively being configured to exercise one or a combination of features of the relevance service. In embodiments, a test scenario may be configured to use test data that can be simulated and/or be derived from one or a combination of user models and promotion models, and/or be based on aggregated data that has been collected from previous production runs of the relevance service. In embodiments, each test scenario is described as a set of test configuration data. In some embodiments, the test configuration data are represented in a data interchange format that is both human and machine-readable, e.g., JavaScript Object Notation (JSON).

Abstract: Systems and methods of the present disclosure enable the automated provisioning of security and compliance policies and onboarding to identity governance solutions. The systems and methods include processors to receive a database provisioning request associated with at least one entity and accessing at least one identity data record via an identity management mechanism associated with the at least one entity. The processors automatically access the database via a secured port; automatically cause to generate in the database, at least one privilege account and at least one access credential rule based on the at least one identity data record. The database is configured to utilize the at least one access credential rule to automatically manage access credentials for accessing the database via the at least one privilege account. The processors automatically disconnect from the secured port of the database.

Abstract: Embodiments are disclosed for adding node highlighting to vector graphics. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a plurality of anchor points of a vector graphic to be highlighted, generating a graph representing one or more path objects of the vector graphic, each node of the graph corresponding to an anchor point of the one or more path objects and each connection corresponding to a path segment connecting the anchor point to another anchor point, identifying a highlight trajectory including a subset of nodes from the graph, the highlight trajectory including at least a start node and an end node, generating a highlight path including at least one or more highlight nodes corresponding to a subset of nodes from the highlight trajectory, and updating the vector graphic to include the highlight path.

Abstract: Digital image dynamic shadow generation is described as implemented by a dynamic shadow system using one or more computing devices. The dynamic shadow system is configured to generate shadow objects based on one or more source objects included in a digital image (e.g., a two-dimensional digital image), automatically and without user intervention. The shadow object is based on a shape of the source object that is to “cast” the shadow and thus promotes realism. The shadow object is also generated by the dynamic shadow system to address an environment, in which, the shadow object is disposed within the digital image.

Abstract: Digital image editing techniques are described as implemented by a depth-aware system of a computing device. The depth-aware system employs a depth-aware grid that defines constraints for depth-aware editing of digital images involving perspective. These techniques support automated editing in which changes to directional spacing, perspective arrangement, perspective movement, object redistribution, and so on are implemented in real time, which is not possible in conventional techniques involving object distortion. As such, these techniques improve operation of the computing device that implements these techniques as well as user efficiency in interacting with the computing device to perform digital image editing that involves perspective.

Abstract: Embodiments include systems, methods, articles of manufacture, and computer-readable media configured process data in a structured format and an unstructured format and applying one or more algorithms to detect elements and links between the elements in the data. Embodiments are further configured to generate a graph model comprising nodes comprising the elements and edges comprising the links.

Abstract: Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

Abstract: A refill cartridge for a volatile composition includes a reservoir, a volatile composition within the reservoir, and a composite membrane in fluid communication with the reservoir. The composite membrane includes a barrier layer having a thickness of less than about 10 ??? and at least one support layer in contact with the barrier layer, the support layer having a thickness of at least about 10 um. The volatile composition is transported from the reservoir across the composite membrane at a flux of between 1 and 100 g/(m2-hr) at about 25° C. and about 101 kPa.