Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.

Abstract: Solid forms of L-glufosinate materials, including crystalline L-glufosinate ammonium, are described.

Abstract: Personalizing sensory feedback based on user sensitivity analysis includes maintaining user-specific parameters for provision of sensory feedback to a user in extended reality. The user-specific parameters apply to specific contextual situations and dictate levels of sensory feedback to provide via stimulus device(s) in the specific contextual situations. Based on an ascertained contextual situation of the user interacting in a target extended reality environment, a set of sensory feedback level parameters is selected for provision of sensory feedback to the user in the target extended reality environment, and stimulus device(s) in the target extended reality environment is/are automatically controlled in the provision of the sensory feedback to the user based on one or more of the selected parameters. The automatically controlling includes electronically communicating with the stimulus device(s) to control at least one stimuli provided to the user by the stimulus device(s).

Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.

Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.

Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.

Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.

Abstract: A cloud-based operating-system-event and data-access monitoring method includes collecting event information from a monitored cloud-based element. One or more structured event payloads based on the event information is then generated. The structured event payloads that produce one or more validated event collections are then validated. The one or more validated event collections are then serialized and filtered to remove redundant structured event payload data. The filtered validated structured event payloads are then de-serialized to produce a time-sequenced, ordered event stream. The time-sequenced, ordered event stream is de-duplicated to remove duplicate structured event payloads. The time-sequenced ordered event stream is then processed to generate processed information security results.