Abstract: Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models. Specifically, the methods and systems comprising retrieving a cross-platform profile, wherein the cross-platform profile comprises a profile linked to an account, for a user, that is used across multiple assets. The methods and system may then update a status of the cross-platform profile based on incidents detected using machine learning models. The methods and system may then generate for presentation, in a user interface for the account, the status of cross-platform profile.

Abstract: In some embodiments, native asset data of an asset corresponding to a cross-platform profile may be monitored, where the cross-platform profile includes a profile linked to an account, for a user, that is used across multiple assets. An incident of the user may be detected via a machine learning model based on telemetry data extracted from the native asset data, where the machine learning model is trained to detect known incidents in training data including labeled telemetry data. A status of the cross-platform profile may be updated based on the incident, and the status may be generated for presentation in a user interface for the account. In response to receiving a user request to provide reconstructed asset data based on the incident, the reconstructed asset data may be generated based on the incident for presentation in the user interface for the account.

Abstract: In some embodiments, native asset data of an asset corresponding to a cross-platform profile may be monitored, where the cross-platform profile includes a profile linked to an account, for a user, that is used across multiple assets. An incident of the user may be detected via a machine learning model based on telemetry data extracted from the native asset data, where the machine learning model is trained to detect known incidents in training data including labeled telemetry data. A status of the cross-platform profile may be updated based on the incident, and the status may be generated for presentation in a user interface for the account. In response to receiving a user request to provide reconstructed asset data based on the incident, the reconstructed asset data may be generated based on the incident for presentation in the user interface for the account.

Abstract: Methods and systems for filtering content in reconstructions of native data in assets. Specifically, the methods and systems extract telemetry data from native game data. The methods and systems then identify Personally Identifiable Information (“PII”) in the telemetry data and determine a masking operation to perform on the PII. The methods and systems then generate for presentation, in a user interface, reconstructed asset data based on the telemetry data, wherein the PII is modified in the reconstructed asset data based on the masking operation.

Abstract: Embodiments of the present disclosure relate to apparatus, systems, and methods for detection and differentiation of selected hydrocarbon gases in a target gas composition. The apparatus comprises a sensing unit; a housing comprising a first housing portion and a second housing portion, the first housing portion for receiving a linear actuator, the linear actuator operatively coupleable to the sensing unit proximal to the inlet, and the second housing portion for receiving at least a portion of the inlet end of the sensing unit and comprising at least one chamber and a closure member housed within the second housing portion and adjacent the inlet, the closure member actuatable between a closed state and an open state by the linear actuator; wherein the at least one chamber is in fluid communication with the inlet when the closure member is in the open state.

Abstract: Methods and systems for generating incident recommendations in processed data using machine learning models. Specifically, the methods and system extract telemetry data from native game data. By reducing game data to telemetry data only, the system may reduce the amount of data that must be stored and processed. The system reconstructs game data in order to generate an incident recommendation. This reconstructed data allows for manual user review and/or understanding the context of an incident.

Abstract: Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models. Specifically, the methods and systems comprising retrieving a cross-platform profile, wherein the cross-platform profile comprises a profile linked to an account, for a user, that is used across multiple assets. The methods and system may then update a status of the cross-platform profile based on incidents detected using machine learning models. The methods and system may then generate for presentation, in a user interface for the account, the status of cross-platform profile.

Abstract: Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models. Specifically, the system may monitor native asset data of an asset corresponding to a cross-platform profile, wherein the cross-platform profile comprises a profile linked to an account, for a user, that is used across multiple assets. The system may detect, using a machine learning model, an incident of the user based on telemetry data extracted from the native asset data. The system may update a status of the cross-platform profile based on the incident. The system may generate for presentation, in a user interface for the account, the status of cross-platform profile and reconstructed asset data based on the incident.

Abstract: Methods and systems for filtering content in reconstructions of native data in assets. Specifically, the methods and systems extract telemetry data from native game data. The methods and systems then identify Personally Identifiable Information (“PII”) in the telemetry data and determine a masking operation to perform on the PII. The methods and systems then generate for presentation, in a user interface, reconstructed asset data based on the telemetry data, wherein the PII is modified in the reconstructed asset data based on the masking operation.

Abstract: Methods and systems for generating incident recommendations in processed data using machine learning models. Specifically, the methods and system extract telemetry data from native game data. By reducing game data to telemetry data only, the system may reduce the amount of data that must be stored and processed. The system reconstructs game data in order to generate an incident recommendation. This reconstructed data allows for manual user review and/or understanding the context of an incident.

Abstract: Methods and systems for detecting disparate incidents in processed data using a plurality of machine learning models. For example, the system may receive native asset data. The system may extract telemetry data from the native asset data. The system may input the first feature input into a first machine learning model, wherein the first machine learning model is trained to detect known incidents of a first type in a first set of labeled telemetry data. The system may then detect a first incident based on a first output from the first machine learning model, wherein the first incident is a first event in an asset related to the user's behavior.

Abstract: A graph analysis system provides a variety of graph analysis tools for analyzing graphs, such as an overall characteristics report, an entity types graph, an ego entity type graph, various histograms, and graph comparison reports. The graph analysis tools also include tools for calculating a similarity score for graphs based on characteristics and weights selected by a user.

Abstract: The invention relates to an on-site medical gas production plant (100) comprising a unit (50) for purifying gas, such as air, a first compartment (A) for storing purified gas, and a main gas line (10) fluidically connecting the gas purification unit (50) to the said first storage compartment (A). It furthermore comprises an actuated valve (304) arranged on the main gas line (10) upstream of the first storage compartment (A), and furthermore connected to the secondary purifying device (306), as well as an operating device (4) which controls at least the actuated valve (304), and at least a gas analysis device (D2) in fluid communication with the main line (10), and which is in communication with said operating device (4).

Abstract: The invention relates to an on-site medical gas production plant (100) comprising a unit (50) for purifying gas, such as air, a first compartment (A) for storing purified gas, and a main gas line (10) fluidically connecting the gas purification unit (50) to the said first storage compartment (A). It furthermore comprises an actuated valve (304) arranged on the main gas line (10) upstream of the first storage compartment (A), and furthermore connected to the secondary purifying device (306), as well as an operating device (4) which controls at least the actuated valve (304), and at least a gas analysis device (D2) in fluid communication with the main line (10), and which is in communication with said operating device (4).

Abstract: The invention relates to an on-site medical gas production plant (100) comprising a unit (50) for purifying gas, such as air, a first compartment (A) for storing purified gas, and a main gas line (10) fluidically connecting the gas purification unit (50) to the said first storage compartment (A). It furthermore comprises an actuated valve (304) arranged on the main gas line (10) upstream of the first storage compartment (A), and furthermore connected to the secondary purifying device (306), as well as an operating device (4) which controls at least the actuated valve (304), and at least a gas analysis device (D2) in fluid communication with the main line (10), and which is in communication with said operating device (4).

Abstract: The invention relates to an on-site medical gas production plant (100) comprising a unit (50) for purifying gas, such as air, a first compartment (A) for storing purified gas, and a main gas line (10) fluidically connecting the gas purification unit (50) to the said first storage compartment (A). It furthermore comprises an actuated valve (304) arranged on the main gas line (10) upstream of the first storage compartment (A), and furthermore connected to the secondary purifying device (306), as well as an operating device (4) which controls at least the actuated valve (304), and at least a gas analysis device (D2) in fluid communication with the main line (10), and which is in communication with said operating device (4).

Abstract: A graph analysis system provides a variety of graph analysis tools for analyzing graphs, such as an overall characteristics report, an entity types graph, an ego entity type graph, various histograms, and graph comparison reports. The graph analysis tools also include tools for calculating a similarity score for graphs based on characteristics and weights selected by a user.

Abstract: The invention offers a method of hydrogenating camptothecin in inert solvent in the presence of nickel catalyst, whereby selective hydrogenation of camptothecin can be very efficiently accomplished using the low-cost catalyst.

Abstract: The invention relates to a vehicular seat system including a seat bottom and a seat back. The headrest is connected to the seat back. The headrest consists of a number of components. These components include: a non-foam frame element, a non-foam insert secured with respect to a portion of the frame element, and a resilient element in which at least a portion of the frame element and the entire insert are embedded. The resilient element consists essentially of a homogeneous foam material. The frame element comprises a pair of post elements for coupling to the vehicular seat back. The post elements are interconnected by a cross-piece element. The headrest is connected to the seat back such that the minimum distance between the outer surface of the headrest for contacting a head of an occupant and the insert is in the range of from about 10 mm to about 30 mm.

Abstract: The invention relates to the surprising and unexpected discovery that a sub-group of phenolic resins (i.e., those which are substantially completely free of ether moieties) is particularly advantageous to confer load building properties to an isocyanate-based foam (e.g., a polyurethane foam). Indeed, its possible to utilize the sub-group of phenolic resins to partially or fully displace copolymer polyols conventionally used to confer load building characteristics to isocyanate-based polymer foams. Further, the invention relates to the surprising and unexpected discovery that a sub-group of phenolic resins (i.e., those which are substantially completely free of ether moieties) is particularly advantageous to confer energy absorption properties in an isocyanate-based foam.