Abstract: A data processing system implements receiving a set of parameters associated with a first clinical trial, the parameters identifying one or more pharmaceuticals and/or medical conditions; identifying first documents associated with one or more second clinical trials from databases of clinical trials, new drug applications, drug label information, or a combination thereof, based on the parameters; obtaining electronic copies of the first documents; analyzing the electronic copies using a first set of models configured to identify relevant portions of the electronic copies based on a document type associated with each of the electronic copies; analyzing the relevant portions of the electronic copies using a natural language processing model to extract information; collating the information extracted from the relevant portions of the electronic copies to produce prediction information related to the first clinical trial; and analyzing the prediction information to generate one or more reports providing informati

Abstract: A method for optimizing a diagnostic reasoner model, for use in connection with a diagnostic system for testing a system under test of an aircraft, includes the steps of querying for a plurality of primary indicators, further querying for a plurality of supplemental indicators, and updating the diagnostic reasoner model based at least in part on the supplemental indicators. The primary indicators identify one or more potential faults in the system under test. Each supplemental indicator provides information either validating or invalidating a particular primary indicator or association of primary indicators.

Abstract: Methods and systems are provided for improving the repair efficacy of a repair action using inferred feedback. The method comprises downloading a repair procedure, which has a probability of success for correcting the fault code. Repair action data is input into to the computing device and is tracked and correlated with the downloaded procedure. The method then adjusts a probability of success of the repair procedure in clearing the fault code generated by the complex system based at least on the correlation. The system comprises a means for receiving repair data, a means for tracking repair action data taken, a means for correlating the tracked repair action and the repair data, and a means for updating a probability of success of the repair action based at least in part on the correlation of the repair data, the repair action data and the operating status of the complex system.

Abstract: Methods and systems are provided for improving the repair efficacy of a repair action using inferred feedback. The method comprises downloading a repair procedure, which has a probability of success for correcting the fault code. Repair action data is input into to the computing device and is tracked and correlated with the downloaded procedure. The method then adjusts a probability of success of the repair procedure in clearing the fault code generated by the complex system based at least on the correlation. The system comprises a means for receiving repair data, a means for tracking repair action data taken, a means for correlating the tracked repair action and the repair data, and a means for updating a probability of success of the repair action based at least in part on the correlation of the repair data, the repair action data and the operating status of the complex system.

Abstract: A method to supervise a local dynamical system having multiple preset control objectives and operating in conjunction with other dynamical systems. The method includes receiving state input from dynamical systems in an environment at a distributed soft computing level, generating weights and applying the weights to the preset control objectives using soft computing methods to form weighted control objectives. The weights are computed based on the received state input. The method also includes generating a command signal for the local dynamical system based on the weighted control objectives and transmitting the command signal to a controller in the local dynamical system.

Abstract: A method for optimizing a diagnostic reasoner model, for use in connection with a diagnostic system for testing a system under test of an aircraft, includes the steps of querying for a plurality of primary indicators, further querying for a plurality of supplemental indicators, and updating the diagnostic reasoner model based at least in part on the supplemental indicators. The primary indicators identify one or more potential faults in the system under test. Each supplemental indicator provides information either validating or invalidating a particular primary indicator or association of primary indicators.

Abstract: A method to supervise a local dynamical system having multiple preset control objectives and operating in conjunction with other dynamical systems. The method includes receiving state input from dynamical systems in an environment at a distributed soft computing level, generating weights and applying the weights to the preset control objectives using soft computing methods to form weighted control objectives. The weights are computed based on the received state input. The method also includes generating a command signal for the local dynamical system based on the weighted control objectives and transmitting the command signal to a controller in the local dynamical system.

Abstract: A system for a variable configuration CO2 removal within an air recovery framework. The system may include description and model development. There may be time modeling that incorporates inter-mode switching time and intra-mode dynamics time. The intra-mode dynamics time may have a mode time interval divided into finite elements and the finite elements may each have collocation points. There may be nonlinear model predictive control with objective function development and tuning. Statistical verification of controller safety performance may be included.