Abstract: A distillation system includes a tank, a diffuser, and a gas turbine engine. The tank has a plurality of walls that together define an inner volume. A divider wall is disposed within the tank and divides the inner volume into a main chamber and a settling chamber. The main chamber has at least a fluid inlet port and an exhaust gas inlet port, the settling chamber has at least an exhaust gas outlet port, and the divider wall has a divider wall opening formed therein that provides fluid communication between the main chamber and the settling chamber. The diffuser is disposed within the main chamber and is coupled to the exhaust gas inlet port. The gas turbine engine is in fluid communication with the exhaust gas inlet port and is configured, during operation thereof, to discharge exhaust gas into the main chamber via the diffuser.

Abstract: A cyber threat defense system can incorporate data from an instant messaging platform with multiple other platforms in a client system to identify cyber threats across the client system. The system can have one or more instant messaging modules to collect instant messaging data from one or more network entities that utilizes one or more instant messaging platforms. A user specific profile module can identify a user of the client system associated with the user account based on a composite user profile constructed from user context data collected across multiple platforms of the client system. A risk profile module can associate the user with a user risk profile based on the composite user profile. The risk profile module can apply one or more artificial intelligence classifiers to the instant message based on the user risk profile. A cyber threat module is configured to identify whether the instant messaging data corresponds to a cyber threat partially based on the user risk profile.

Abstract: The node exposure score generator and the attack path modeling component are configured to cooperate to analyze the actual detected vulnerabilities that exist for that network node in the network, the importance of network nodes in the network compared to other network nodes in the network, and the key pathways within the network and the vulnerable network nodes in the network that a cyber-attack would use during the cyber-attack in order to provide an intelligent prioritization of remediation actions to remediate the actual detected vulnerabilities for each network node from the network protected by a cyber security appliance.

Abstract: The present disclosure relates generally to systems and methods for analyzing intent. Intents may be analyzed to determine to which device or agent to route a communication. The analyzed intent information can also be used to formulate reports and analyze the accuracy of the identified intents with respect to the received communication.

Abstract: A cyber security restoration engine takes one or more autonomous remediation actions to remediate one or more nodes in a graph of a system being protected back to a trusted operational state in order to assist in a recovery from the cyber threat. The cyber security restoration engine has a tracking component the operational state of each node in the graph of the protected system. The communication module also cooperates with the cyber security restoration engine to communicate with at least one of an external backup system and a recovery service to invoke backup remediation actions and/or recovery remediation actions to remediate one or more nodes potentially compromised by the cyber threat back to a trusted operational state, for example the state before the detected compromise by the cyber threat occurred in the protected system.

Abstract: A cyber security system includes an importance node module to compute and use graphs to compute an importance of a node based on factors including a hierarchy and a job title of the user, aggregated account privileges from network domains and a level of shared resource access for the user. The graphs are supplied into an attack path modeling component to understand an importance of the network nodes and determine key pathways within the network that a cyber-attack would use, via a modeling the cyber-attack on a simulated and a virtual device version of the network. The cyber security system provides an intelligent prioritization of remediation action to a remediation suggester module to analyze results of the modeling the cyber-attack for each node and suggest how to perform intelligent prioritization of remediation action on a network node in one of a report and an autonomous remediation action.

Abstract: A gas turbine engine inlet anti-ice system includes a nacelle having an inlet lip, an anti-ice air supply duct, and a flow deflector. The inlet lip has an annular anti-icing chamber formed therein that is defined by an inner surface of the inlet lip and an aft wall that has an aft wall opening formed therein. The anti-ice air supply duct is configured to direct a flow of pressurized air into the aft wall opening. The flow deflector is coupled to the aft wall and extends over the aft wall opening. The flow deflector has an inner surface, an outer surface, a closed end, and an open end. The flow deflector and aft wall define a flow channel that extends between the closed end and the open end and in a direction that is tangential to the aft wall opening.

Abstract: A cyber security restoration engine takes one or more autonomous remediation actions to remediate one or more nodes in a graph of a system being protected back to a trusted operational state in order to assist in a recovery from the cyber threat. The cyber security restoration engine has a tracking component the operational state of each node in the graph of the protected system. The communication module also cooperates with the cyber security restoration engine to communicate with at least one of an external backup system and a recovery service to invoke backup remediation actions and/or recovery remediation actions to remediate one or more nodes potentially compromised by the cyber threat back to a trusted operational state, for example the state before the detected compromise by the cyber threat occurred in the protected system.

Abstract: The present invention relates to polypeptide and peptide vaccine compositions and methods that reduce methane and/or hydrogen production in animals. The present invention also relates to the treatment of diseases that are associated with methanogens.

Abstract: The present disclosure provides compositions and methods for reducing emissions of deleterious atmospheric gases and/or precursors thereof from a flooded ecosystem comprising: one or more small molecules that reduce the production of one or more deleterious atmospheric gases and/or precursors thereof and one or more agriculturally suitable carriers.

Abstract: A cyber security system includes an importance node module to compute and use graphs to compute an importance of a node based on factors including a hierarchy and a job title of the user, aggregated account privileges from network domains and a level of shared resource access for the user. The graphs are supplied into an attack path modeling component to understand an importance of the network nodes and determine key pathways within the network that a cyber-attack would use, via a modeling the cyber-attack on a simulated and a virtual device version of the network. The cyber security system provides an intelligent prioritization of remediation action to a remediation suggester module to analyze results of the modeling the cyber-attack for each node and suggest how to perform intelligent prioritization of remediation action on a network node in one of a report and an autonomous remediation action.

Abstract: The present invention relates to cell-based vaccine compositions and methods that reduce methane and/or hydrogen production in animals. The present invention relates to the treatment of diseases that are associated with methanogens. The present invention also relates to methods of growing hydrogenotrophs in safe anaerobic conditions.

Abstract: The present disclosure relates generally to facilitating two-way communications. One example involves receiving input data as part of a two-way communication session associated with a plurality of bots, accessing confidence scores from the bots. Mapped scores are then generated for the plurality of bots from the confidence scores using a bot score mapper. A selected bot is identified using the mapped scores, and the two-way communication session is facilitated using the selected bot. Further, techniques are provided to track performance of the selected bot and dynamically updated mapping adjustments in the bot score mapper using feedback and machine learning systems.

Abstract: A method of coordinating real-time experiences of a realm among members of a group of users, the group of users including an administrative user and at least one participating user, is provided. The method includes transmitting by a server from a computing device of the administrative user, to a computing device of a first participating user of the group, in a real time session that allows the first participating user to experience the realm in real time, (a) data characterizing a series of locations in the realm, the series of locations comprising a first location and a second location, wherein the first location is associated with a first panoramic image and the second location is associated with a second panoramic image, and (b) executable code.

Abstract: A system for an electric machine associated with a gas turbine engine of a vehicle includes a shield to be coupled to the electric machine. The shield includes a first wall opposite a second wall with a passage defined between the first wall and the second wall. The first wall defines an inlet port at a first end opposite an outlet port defined between the first wall and the second wall at a second end. The inlet port and the outlet port are in communication with the passage. The system includes an airfoil coupled to the shield proximate the second end to extend from the shield. The airfoil defines an airfoil inlet at a leading edge that is in communication with an interior of the airfoil. The interior of the airfoil is in communication with the inlet port and is to couple the electric machine to the gas turbine engine.

Abstract: A tracking system passively tracks and records searches conducted by actual search engine users. The recorded data for each search event preferably includes the search query submitted, the search engine used, the search result item (e.g., web page) selected, the position (e.g., page number) of this item, and the user's IP address. The collected data is aggregated and analyzed to generate data regarding the search queries used to locate and access particular destinations (e.g., web pages and sites). This data may be used for various purposes, such as (1) to generate reports showing, e.g., how users reach a particular destination from different search engines and geographic locations, (2) to select content to display on a destination page, such that the content is relevant to search queries commonly used to locate that page, and (3) to update the database of one search engine to reflect searches conducted on other search engines.

Abstract: Methods and systems for transcript-based bot creation are provided. Information may be stored in memory regarding different automation templates associated with different statement types. A transcript may be imported that includes statements, which may be analyzed and classified as one or more of the different statement types. The imported transcript may be displayed in a graphic user interface with its statements displayed in accordance with the automation templates associated with the respective statement type. User input may be received, including modification input that modifies at least one automation template associated with at least one statement of the displayed transcript designated as an integration point. A custom bot may thereafter be generated based on the modification input and configured to conduct a conversation based on the imported template and to initiate a workflow at the integration point in accordance with the modified automation template.

Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.

Abstract: In an embodiment, an apparatus is described. The apparatus comprises an appliance extension configured to perform functions with i) a monitoring module configured to monitor metrics and receive alerts regarding potential cyber threats on a system including an email system, ii) an investigative module configured to retrieve the metrics and alerts, and iii) a remote response module configured observe the metrics and alerts and send one or more control signals to an autonomous response module to take one or more actions to counter one or more detected cyber threats on the system remotely from the appliance extension.