Abstract: A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable mediums for detecting and avoiding loss of separation between vehicles. A first method may include training a vehicle interaction machine learning model to predict future vehicle interactions based on identified vehicle interactions and an identified risk of encounter between two or more selected vehicles. A second method may include obtaining real-time data associated with a vehicle-of-interest; evaluating the real-time data associated with the vehicle-of-interest to form encounter models; monitoring the encounter models with a model access function of the vehicle interaction machine learning model to detect real-time anomalies; and in response to detecting a real-time anomaly, transmitting an alert.

Abstract: The present application provides that synthetic retinoid compounds are useful in methods of treating bacterial infections, such as a bacterial infection caused by S. aureus, methicillin-resistant S. aureus (MRSA), vancomycin-resistant S. aureus (VRSA), E. faecalis, E. faecium, B. subtilis, and B. anthracis. The present application also provides a tricyclic fluoroquinolone compound, Z3060, useful in methods of treating bacterial infections, such as a bacterial infection caused by S. aureus, methicillin-resistant S. aureus (MRSA), vancomycin-resistant S. aureus (VRSA), E. spp., K. pneumoniae, P. aeruginosa, A. baumannii, E. faecium, and E. faecalis. Also provided herein is a gold compound, auranofin, useful in treating bacterial and fungal infections, such as a fungal infection caused by C. albicans, C. parapsilosis, C. tropicalis, C. glabrata, and C. neoformans.

Abstract: A robotics process automation platform for developing and managing a workflow is provided. The platform includes development and operational databases stored in a memory, a development interface component, a control interface component, and a runner component. The development interface component is configured for creating a workflow and storing the workflow in the development database. The control interface component is configured for selecting the workflow stored in the development database and storing a copy of the workflow in the operational database. The runner component is configured for receiving instructions from the control interface component to store a copy of the workflow stored in the operational database in a memory of a virtual computing device, and downloading the workflow in the second memory. The runner component is also configured for instructing the virtual computing device to execute the workflow in association with the target application.

Abstract: A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable mediums for detecting and avoiding loss of separation between vehicles. A first method may include training a vehicle interaction machine learning model to predict future vehicle interactions based on identified vehicle interactions and an identified risk of encounter between two or more selected vehicles. A second method may include obtaining real-time data associated with a vehicle-of-interest; evaluating the real-time data associated with the vehicle-of-interest to form encounter models; monitoring the encounter models with a model access function of the vehicle interaction machine learning model to detect real-time anomalies; and in response to detecting a real-time anomaly, transmitting an alert.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable mediums for detecting and avoiding loss of separation between vehicles. A first method may include training a vehicle interaction machine learning model to predict future vehicle interactions based on identified vehicle interactions and an identified risk of encounter between two or more selected vehicles. A second method may include obtaining real-time data associated with a vehicle-of-interest; evaluating the real-time data associated with the vehicle-of-interest to form encounter models; monitoring the encounter models with a model access function of the vehicle interaction machine learning model to detect real-time anomalies; and in response to detecting a real-time anomaly, transmitting an alert.

Abstract: Use of an unleaded gasoline fuel composition for reducing the occurrence of Low Speed Pre-Ignition (LSPI) in a spark-ignition internal combustion engine, wherein the unleaded gasoline fuel composition comprises a gasoline base fuel and detergent additive package, wherein the detergent additive package comprises a Mannich base detergent mixture, wherein the mixture comprises a first Mannich base detergent component derived from a di- or polyamine and a second Mannich base detergent component derived from a monoamine, wherein the weight ratio of the first Mannich base detergent to the second Mannich base detergent mixture ranges from about 1:6 to about 3:1, and wherein the spark-ignition internal combustion engine is lubricated with a lubricant composition comprising from 1200 ppmw to 3000 ppmw of calcium, based on the total lubricant composition.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.

Abstract: A power line communication and real-time wiring fault location system includes a power distribution system, a plurality of solid-state power controllers, and a communication and fault location determination circuit. The power distribution system includes an upstream power feeder line and a plurality of load-end feeder lines. Each solid-state power controller is associated with a different one of the load-end feeder lines and is configured to selectively couple its associated load-end feeder line to the upstream power feeder line and detect an electrical fault on its associated load-end feeder line or in an electrical load to which the associated load-end feeder line is coupled. The communication and fault location determination circuit is coupled to each of the load-end feeder lines and is configured, in response to a channel selection command, to selectively transmit a fault location stimulation signal onto one of the load-end feeder lines.

Abstract: The present application provides that synthetic retinoid compounds are useful in methods of treating bacterial infections, such as a bacterial infection caused by S. aureus, methicillin-resistant S. aureus (MRSA), vancomycin-resistant S. aureus (VRSA), E. faecalis, E. faecium, B. subtilis, and B. anthracis. The present application also provides a tricyclic fluoroquinolone compound, Z3060, useful in methods of treating bacterial infections, such as Sa bacterial infection caused by S. aureus, methicillin-resistant S. aureus (MRSA), vancomycin-resistant S. aureus (VRSA), E. spp., K. pneumoniae, P. aeruginosa, A. baumannii, E. faecium, and E. faecalis. Also provided herein is a gold compound, auranofin, useful in treating bacterial and fungal infections, such as a fungal infection caused by C. albicans, C. parapsilosis, C. tropicalis, C. glabrata, and C. neoformans.

Abstract: A robotics process automation platform for developing and managing a workflow is provided. The platform includes development and operational databases stored in a memory, a development interface component, a control interface component, and a runner component. The development interface component is configured for creating a workflow and storing the workflow in the development database. The control interface component is configured for selecting the workflow stored in the development database and storing a copy of the workflow in the operational database. The runner component is configured for receiving instructions from the control interface component to store a copy of the workflow stored in the operational database in a memory of a virtual computing device, and downloading the workflow in the second memory. The runner component is also configured for instructing the virtual computing device to execute the workflow in association with the target application.

Abstract: An environmental control system (ECS) includes a controller; and a mode selector in communication with the controller and configured to select at least one of a plurality of modes. The mode is based on one of: number of occupants in an environment; activity of the occupants in the environment; destination of the environment; and performance of an engine that moves the environment. The controller is configured to change an ECS load on the system based upon the selected mode.

Abstract: An environmental control system (ECS) includes a controller; and a mode selector in communication with the controller and configured to select at least one of a plurality of modes. The mode is based on one of: number of occupants in an environment; activity of the occupants in the environment; destination of the environment; and performance of an engine that moves the environment. The controller is configured to change an ECS load on the system based upon the selected mode.

Abstract: A seal assembly for a rotary machine is provided. The seal assembly includes multiple sealing device segments disposed circumferentially intermediate to a stationary housing and a rotor. Each of the segments includes a shoe plate with a forward-shoe section and an aft-shoe section having one or more labyrinth teeth therebetween facing the rotor. The sealing device includes a stator interface element having a groove or slot for allowing disposal of a spline seal for preventing segment leakages. The sealing device segment also includes multiple bellow springs or flexures connected to the shoe plate and to the stator interface element. Further, the sealing device segments include a secondary seal integrated with the stator interface element at one end and positioned about the multiple bellow springs or flexures and the shoe plate at the other end.

Abstract: An inertial navigation system (INS) includes a primary inertial navigation system (INS) unit configured to receive accelerometer measurements from an accelerometer and angular velocity measurements from a gyroscope. The primary INS unit is further configured to receive global navigation satellite system (GNSS) signals from a GNSS sensor and to determine a first set of kinematic state vectors based on the accelerometer measurements, the angular velocity measurements, and the GNSS signals. The INS further includes a secondary INS unit configured to receive the accelerometer measurements and the angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the accelerometer measurements and the angular velocity measurements. A health management system is configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to determine faults associated with the accelerometer or the gyroscope based on the comparison.