Abstract: There is disclosed a fluid separation system (16) for recovering a target fluid from a fluid mixture. The fluid recovery system (16) comprises an inlet (18) that is configured to receive the fluid mixture; a first compressor (24) for compressing the fluid mixture; a return line (26) that comprises a return line inlet (28) that is disposed downstream of the first compressor, such that, in use, 2024/023507 the fluid mixture is divided into a first portion (34) and a second portion (36); and a separation device (30) that is disposed downstream of the return line inlet (28). The return line (26) is configured to return the second portion (36) to upstream of the first compressor (22). In use, the first portion (34) is provided to the separation device (30) at a predetermined flow rate.

Abstract: The present disclosure relates to methods and systems for coating pharmaceutical vessels. e.g. with a coating set that includes an oxygen barrier layer, that reduce the amount of particles present on the coated vessels. The present disclosure also relates to methods and systems for removing particles from vessels, e.g. after a coating is applied to an inner surface of the vessel. The present disclosure also relates to methods and systems for inspecting pharmaceutical vessels for particles prior to filling using machine-based visual analysis. Each of the above may be controlled and performed by one or more processors, thereby enabling a fully automated coating, cleaning, and/or inspecting operation for pharmaceutical vessels.

Abstract: Some embodiments may include methods and related systems to receive a query associated with an access level and determine a set of documents based on the query and a knowledge graph, where the set of documents is associated with a set of tags, a set of directives, and a set of criteria. Some embodiments may then determine a score based on the set of directives, determine whether the access level satisfies the set of criteria, and, in response to a result indicating that the access level satisfies the set of criteria, associate a set of text identifiers with the score by tracing the set of tags. Some embodiments may then store, in a set of database records, the score and the set of text identifiers.

Abstract: A method is provided for determining a gas charge pressure PcalcGC of a hydraulic accumulator within a hydraulic fluid system. The method includes receiving pressure decay data representing the pressure decay within a self-pressurizing hydraulic reservoir of the hydraulic fluid system as the self-pressurizing hydraulic reservoir depressurizes from an operating pressure of the self-pressurizing hydraulic reservoir towards atmospheric pressure. The method also includes calculating the gas charge pressure PcalcGC of the hydraulic accumulator using the received pressure decay data of the self-pressurizing hydraulic reservoir.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: The present disclosure relates to methods and systems for coating pharmaceutical vessels, e.g. with a coating set that includes an oxygen barrier layer, that reduce the amount of particles present on the coated vessels. The present disclosure also relates to methods and systems for removing particles from vessels, e.g. after a coating is applied to an inner surface of the vessel. The present disclosure also relates to methods and systems for inspecting pharmaceutical vessels for particles prior to filling using machine based visual analysis. Each of the above may be controlled and performed by one or more processors, thereby enabling a fully automated coating, cleaning, and/or inspecting operation for pharmaceutical vessels.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: A device comprising a plurality of antennas operable to transmit and receive communication packets via a plurality of communication protocols and an integrated circuit chip coupled to the plurality of antennas. The integrated circuit chip comprises a first and a second plurality of processing elements. The first plurality of processing elements operable to receive communication packets via a first one of a plurality of communication protocols and process an optimal route. The second plurality of processing elements communicatively coupled to the first plurality of processing elements and operable to determine the optimal route to transmit the communication packets from a source device to a destination device based, at least in part, on transmission characteristics associated with at least one of the source or destination devices.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: A fluid evacuation apparatus comprising a platform which is configured to receive at least one component. The fluid evacuation apparatus further comprising a cover comprising a polymeric membrane, the cover configured to be placed over the at least one component and configured to sealingly engage the platform, thereby forming a chamber which defines a chamber volume. The fluid evacuation apparatus further comprising a pump connected to the apparatus and configured to pump fluid out of the chamber volume.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.

Abstract: A method is provided for determining a gas charge pressure PcalcGC of a hydraulic accumulator within a hydraulic fluid system. The method includes receiving pressure decay data representing the pressure decay within a self-pressurizing hydraulic reservoir of the hydraulic fluid system as the self-pressurizing hydraulic reservoir depressurizes from an operating pressure of the self-pressurizing hydraulic reservoir towards atmospheric pressure. The method also includes calculating the gas charge pressure PcalcGC of the hydraulic accumulator using the received pressure decay data of the self-pressurizing hydraulic reservoir.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.