Abstract: Some embodiments address technical challenges arising from efforts to identify and mitigate security risks, in particular but not only, risks that sensitive data will be exfiltrated. Some embodiments provide or utilize an anomaly detector which is configured to detect a security anomaly in data based on at least a distribution of sensitive information type documents in a collection of documents and classifications of documents by trainable classifiers based on machine learning. Some embodiments provide or utilize a security policy generator which is configured to proactively and automatically generate security policy recommendations, rank at least two of the security policy recommendations, and present at least one top-ranked generated security policy recommendation in a user interface. Some embodiments generate a security policy in a managed computing system based on at least an anomaly score, and then configure the managed computing system according to the generated security policy.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A method for transmitting ticket information to user devices based on interactions of the user devices with a ticket system, is disclosed. The method involves identifying interactions of a first user device and a second user device with the ticket system within a predefined time period. The interactions are associated with ticket requests for a resource. Interaction scores are generated and updated based on the number of interactions. Upon interaction with the first user device, a first interface containing first ticket information is transmitted within the predefined time period, determined by the first interaction score. Simultaneously, in response to the second user device interaction, a second interface with second ticket information is transmitted, determined by the second interaction score. Notably, the second ticket information includes a second quantity of available tickets for the resource, which is lesser than a first quantity in the first ticket information.

Abstract: An airfoil assembly extends along a radial direction between a root and a tip, the airfoil assembly comprising: a first blade segment positioned proximate the root of the airfoil assembly; a second blade segment positioned adjacent the first blade segment along the radial direction; and a tensioning assembly comprising a plurality of tensioning strings that extend between and mechanically couple the first blade segment and the second blade segment.

Abstract: An information handling system includes an add-in slot and a baseboard management controller (BMC). The add-in slot receives components of a particular type. The BMC receives an identifier from a particular component installed into the add-in slot. The identifier uniquely identifies the component from any other component of the same type. The BMC further determines whether or not a first entry in an encoded component table includes the first identifier, determines an action to perform for the component in response to determining that the entry includes the identifier, and performs the action for the component. The first entry is associated with the first add-in slot.

Abstract: Certain aspects and features of the present disclosure relate to systems and methods that generate machine-learning models to predict whether user devices are likely to meet defined objectives. For example, a machine-learning model can be generated to predict whether or not a user device is likely to access a resource. In some implementations, a semi-supervised model can be used to determine to what extent user devices are predicted to satisfy the defined objective(s). For example, a resource-affinity parameter can be generated as a result of inputting various data points into a semi-supervised model. The various data points can be access from a plurality of data sources, and can represent one or more activities or attributes associated with a user. The value of the resource-affinity parameter can be evaluated to determine the extent to which the user is likely to meet an objective.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: Systems and methods for automated techniques that generate queryable database table ownership attribution information in real-time. In addition to generating ownership attribution information, system and methods provide a novel framework for creating bi-partite graphs and generating insightful graph data.

Abstract: An airfoil assembly extends along a radial direction between a root and a tip, the airfoil assembly comprising: a first blade segment positioned proximate the root of the airfoil assembly; a second blade segment positioned adjacent the first blade segment along the radial direction; and a tensioning assembly comprising a plurality of tensioning strings that extend between and mechanically couple the first blade segment and the second blade segment.

Abstract: An airfoil assembly and a method of manufacturing the same are provided, the airfoil assembly defining a span axis, a root end, and a tip end. The airfoil assembly includes a reinforcement structure comprising a first helical support structure wrapped around the span axis between the root end and the tip end and a second helical support structure wrapped around the span axis between the root end and the tip end; a polymeric matrix material positioned at least partially around the reinforcement structure; and an outer skin positioned around the reinforcement structure and the polymeric matrix material.

Abstract: Systems and methods for automated techniques that generate queryable database table ownership attribution information in real-time. In addition to generating ownership attribution information, system and methods provide a novel framework for creating bi-partite graphs and generating insightful graph data.

Abstract: Certain aspects and features of the present disclosure relate to systems and methods that generate machine-learning models to predict whether user devices are likely to meet defined objectives. For example, a machine-learning model can be generated to predict whether or not a user device is likely to access a resource. In some implementations, a semi-supervised model can be used to determine to what extent user devices are predicted to satisfy the defined objective(s). For example, a resource-affinity parameter can be generated as a result of inputting various data points into a semi-supervised model. The various data points can be access from a plurality of data sources, and can represent one or more activities or attributes associated with a user. The value of the resource-affinity parameter can be evaluated to determine the extent to which the user is likely to meet an objective.

Abstract: An airfoil assembly and a method of manufacturing the same are provided, the airfoil assembly defining a span axis, a root end, and a tip end. The airfoil assembly includes a reinforcement structure comprising a first helical support structure wrapped around the span axis between the root end and the tip end and a second helical support structure wrapped around the span axis between the root end and the tip end; a polymeric matrix material positioned at least partially around the reinforcement structure; and an outer skin positioned around the reinforcement structure and the polymeric matrix material.

Abstract: A heat engine including a liner extended along a first dimension and a second dimension, wherein the liner includes a plurality of cavities formed by a honeycomb structure. Each cavity forms a volume extended from an opening at a fluid contact side of the liner and along a third dimension substantially orthogonal to the first dimension and the second dimension. The opening at the fluid contact side includes a cross sectional area of each respective volume of the plurality of cavities. The plurality of cavities is non-uniform with respect to the cross sectional area at the opening along the first dimension, the second dimension, or both.

Abstract: A system and method for scheduling tasks associated with controlling access to databases. The system and method relate to scheduling tasks for data requesting systems that satisfy particular conditions. For example, data requesting systems that satisfy the conditions may have associated tasks stored in a queue during a first processing phase. Data requesting systems that do not satisfy the conditions may have associated tasks inhibited from being stored in the queue during the first processing phase, but these tasks may be stored in the queue during a later second processing phase. Tasks stored in the queue during the first processing phase may be processed before tasks stored in the queue during the second processing phase. For example, the tasks may correspond to accessing a database for querying data representing access rights to a resource.

Abstract: An acoustic absorber for a gas turbine engine includes a back sheet, a face sheet spaced apart from the back sheet and defining a plurality of perforations, and a core layer positioned between the back sheet and the face sheet and comprising a plurality of cells. The core layer comprises an outer wall extending between the back sheet and the face sheet to define an outer boundary of at least one cell of the plurality of cells and an inner wall positioned within the outer boundary to divide the at least one cell of the plurality of cells into an outer damping volume and an inner damping volume, the inner damping volume being at least partially surrounded by the outer damping volume.

Abstract: A system and method for scheduling tasks associated with changing a personality of a ticketing interface. One or more processors generate interaction scores for each of the plurality of user devices based on receiving interactions between the ticketing engine and a plurality of user devices. The system further generate interaction patterns for each of the plurality of user devices that include a relation between the interaction scores generated for each of the plurality of user devices with the interactions from the plurality of user devices. The system further classify each of the plurality of user devices based on the generated interaction patterns to identify whether a user device from the plurality of user devices is a fraudulent or a non-fraudulent user device and modify interface of the ticketing engine based on the classification of each of the plurality of user devices.