Abstract: Methods and related devices for impinging light on tissue, for example within a body of a patient, to induce various biological effects are disclosed. Biological effects may include at least one of inactivating and/or inhibiting growth of one or more pathogens, upregulating a local immune response, stimulating enzymatic generation of nitric oxide to increase endogenous stores of nitric oxide, releasing nitric oxide from endogenous stores of nitric oxide, and inducing an anti-inflammatory effect. Wavelengths of light are selected based on intended biological effects for one or more of targeted tissue types and targeted pathogens. Light treatments may provide multiple pathogenic biological effects, either with light of a single wavelength or with light having multiple wavelengths. Devices and methods for light treatments are disclosed that provide light doses for inducing biological effects on various targeted pathogens and targeted tissues with increased efficacy and reduced cytotoxicity.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents.

Abstract: Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for adding time-based captions to captured video. The program and method provide for displaying, by a messaging application, a preview user interface for previewing and editing captured video in order to generate a media content item, the preview user interface including an interface element which is selectable to switch to a captions user interface for adding a caption to the media content item; switching, in response to first user input selecting the interface element, to the captions user interface which is configured to receive user input for caption content and a duration to display the caption content; receiving, via the captions user interface, second user input for the caption content and the duration; and generating the media content item based on the caption content and the duration to display the caption content.

Abstract: A kyphoplasty system includes various instruments which can be selectively used in a surgical theater (e.g., during a surgical operation on a patient) or a surgical training environment. The kyphoplasty system can include one or more of a kyphoplasty apparatus, a prone table mat, a connector system, a bone introducer needle, and a biopsy device. The kyphoplasty system may also include a training system for use in the training environment.

Abstract: A method for determining the authenticity of an item, the method comprising: receiving, by an item, a seed; storing the seed in a block of non-volatile memory in the supply item follower component; calculating, by the item follower component, an output of a cryptographic function with the input based on the seed and storing the output in the block of non-volatile memory; iteratively calculating, by the item, the outputs of the cryptographic function wherein for each iteration the input for the cryptographic function is based on the seed and all previous outputs, and for each iteration storing the output in the block of non-volatile memory; and determining the authenticity of the item based on a selected output of the cryptographic function of the item, the selected output being one of the outputs stored in the block of non-volatile memory.

Abstract: A method of determining trust in a supply item in an imaging device for verifying other supply items installed in the imaging device via an algorithm, wherein the imaging device has a plurality of installed supply items. The method comprises: sending challenge data and an indication of the algorithm to a candidate supply item, receiving a challenge response from the candidate supply item, and determining, by the controller, a status of the challenge response, the status being verified or unverified. When the controller determines that the received challenge response is a correct output of the algorithm when the challenge data is input to the algorithm, the status is determined as verified. Further, an imaging device configured to determine trust in a supply item installed in the imaging device for verifying other supply items installed in the imaging device via an algorithm.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A story graph is employed, where the story graph comprises a plurality of items of content to be expressed in a natural language narrative. A processor executes code corresponding to any of a plurality of structurers that organize the items of content into different story outlines from which the natural language narratives are generated, wherein the different structurers comprise different operating rules and/or parameters that implement different strategies for organizing the items of content into the story outlines.

Abstract: Disclosed are multi-ply tissue products comprising a non-crosslinked binder that are durable and dispersible. The products generally have a Slosh time less than 2 minutes, such as less than about 60 seconds, such as less than about 45 seconds. Surprisingly, the foregoing Slosh times are achieved despite the tissue products having relatively high cross-machine direction (CD) wet tensile strength, such as greater than about 100 g/3?. Typically, increasing wet tensile strength, particularly wet CD tensile strength, negatively effects dispersability and increases Slosh time. Despite this trend, the present invention surprisingly provides a tissue product having a relatively high degree of wet strength and good dispersability.

Abstract: An imaging device comprising a controller, a prover supply item and a verifier supply item, where the imaging device is configured to authenticate the prover supply item by: sending a challenge response from the prover supply item to the verifier supply item, and determining a status of the challenge response. When the verifier supply item determines that the received challenge response is a correct output of an algorithm when challenge data is input to the algorithm, the status is determined as verified. A supply item configured to be operable as a prover supply item when installed in an imaging device. The prover supply item is configured to receive an indication of an algorithm to be performed and receive challenge data, perform the algorithm using the challenge data as input to determine a challenge response, and send the challenge response to a verifier supply item.

Abstract: A method of authenticating a supply item in an imaging device, wherein the supply item is designated as a prover supply item, and a second supply item installed in the imaging device is designated as a verifier supply item. The method comprises: receiving a challenge response from the prover supply item and determining a status of the challenge response. When the verifier supply item determines that the received challenge response is a correct output of an algorithm when challenge data is input to the algorithm, the status is determined as verified. The verifier supply item is disclosed, configured to receive a challenge response from a prover supply item installed in the imaging device, and determine a status of the challenge response. When the verifier supply item determines that the received challenge response is a correct output of an algorithm, the status is determined as verified.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor (1) dynamically determines a size for a natural language narrative and (2) traverses the graph data structure based on the determined size and a plurality of the links to determine which of the nodes to use for content to be expressed in the natural language narrative having the determined size.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor executes chooser code, structurer code, and realizer code to generate the natural language narratives.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A story graph is employed, where the story graph comprises a plurality of items of content to be expressed in a natural language narrative. A processor executes structurer code based on a plurality of operating rules and/or parameters that control how the structurer code organizes the items of content into a story outline from which the natural language narrative is generated, wherein the operating rules and/or parameters are configurable to change strategies for organizing the items of content into the story outline.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor executes code corresponding to any of a plurality of different choosers that traverse the graph data structure to determine which of the nodes to use for content to be expressed in the natural language narratives, wherein the different choosers comprise different operating rules and/or parameters that implement different strategies for choosing which nodes are used for the content to be expressed in the natural language narratives.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. The nodes (1) represent corresponding intents so that different nodes represent different corresponding intents, (2) are associated with corresponding analytics for execution to evaluate a given node's corresponding intent and generate a result that represents an evaluation of that node's corresponding intent, and (3) are associated with one or more links with one or more of the nodes to define relationships among the intents.

Abstract: Systems and methods are disclosed for integrating NLG-based natural language narrative story generation with story sharing. A processor can (1) generate a plurality of natural language narrative stories based on a plurality of semantic source models for the natural language narrative stories, (2) analyze the semantic source models to determine a plurality of users to whom the natural language narrative stories that are generated from the analyzed semantic source models are to be shared, and (3) share the generated natural language narrative stories with their determined users. In this fashion, stories can be posted to user-customized newsfeeds in a manner that can more reliably capture stories that are of interest to the users.

Abstract: Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that different nodes represent different corresponding intents, (2) is associated with a result that represents an evaluation of the node's corresponding intent with respect to the structured data, and (3) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor traverses the graph data structure based on defined criteria and a plurality of the links to choose which of the results are to be expressed in the natural language narratives.