Abstract: A four component roofing system uses three reflective subsystems and one radiant subsystem to provide passive temperature control of a building comprising: (1) Shingles that reflect high angle summer sun light back to the sky, but absorb low angle winter sunlight; (2) A temperature sensitive attic insulator placed under a sunlit roof that reflects radiation and blocks convection from the roof to the attic at hot temperatures, permits radiation and convection at warm temperatures, and blocks radiation and convection from the attic at cold temperatures; (3) A temperature sensitive attic insulator placed under a shaded roof that permits radiation and convection at warm or hot temperatures, and blocks radiation and convection from the attic at cold temperatures; (4) Non-reflective shingles on a shaded roof that emit radiation continuously, but that are heated by air and radiation from the attic only when the second temperature sensitive attic insulator permits convection, so that radiant heat loss is reduced at c

Abstract: The present invention is generally related to a computer architecture and process for evaluating and reporting on a user's competence in managing a simulation of a complex system modeled in a computer based testing and training system. The simulation may be called a “virtual system.” The method generates evaluation criteria responsive to a user profile, user choices in managing the virtual system, and events that occur during a simulation, in addition to the original state of the system. The method produces summary evaluations responsive to a plurality of characteristics of the simulated system. The implementation may be advantageously employed to evaluate a medical clinician's management of computer-simulated human patients, hereinafter called “virtual patients”. The present invention is also suitable for evaluation of user management of a plurality of complex systems including but not limited to animals, plants, cells, machines, and populations.

Abstract: A four component roofing system uses three reflective subsystems and one radiant subsystem to provide passive temperature control of a building comprising: (1) Shingles that reflect high angle summer sun light back to the sky, but absorb low angle winter sunlight; (2) A temperature sensitive attic insulator placed under a sunlit roof that reflects radiation and blocks convection from the roof to the attic at hot temperatures, permits radiation and convection at warm temperatures, and blocks radiation and convection from the attic at cold temperatures; (3) A temperature sensitive attic insulator placed under a shaded roof that permits radiation and convection at warm or hot temperatures, and blocks radiation and convection from the attic at cold temperatures; (4) Non-reflective shingles on a shaded roof that emit radiation continuously, but that are heated by air and radiation from the attic only when the second temperature sensitive attic insulator permits convection, so that radiant heat loss is reduced at c

Abstract: The present invention relates to a computer implemented system and method for generating and interacting with a multi-factoral patient simulation responsive to user queries and interventions.

Abstract: A computer implemented simulation and evaluation method simulates interventions to a patient by a user, and evaluates the interventions responsive to predetermined criteria and the interventions. The method includes defining a test area to evaluate the user to at least one of predetermined criteria and a user profile, selecting genetic information of the patient responsive to the test area, and generating a patient history responsive to the test area and the genetic information. The method also includes receiving at least one intervention input by the user, and evaluating the user responsive to the intervention and predetermined criteria.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A computer implemented simulation and evaluation method simulates interventions to a patient by a user, and evaluates the interventions responsive to predetermined criteria and the interventions. The method includes defining a test area to evaluate the user to at least one of predetermined criteria and a user profile, selecting genetic information of the patient responsive to the test area, and generating a patient history responsive to the test area and the genetic information. The method also includes receiving at least one intervention input by the user, and evaluating the user responsive to the intervention and predetermined criteria.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A computer implemented simulation and evaluation method simulates interventions to a patient by a user, and evaluates the interventions responsive to predetermined criteria and the interventions. The method includes defining a test area to evaluate the user to at least one of predetermined criteria and a user profile, selecting genetic information of the patient responsive to the test area, and generating a patient history responsive to the test area and the genetic information. The method also includes receiving at least one intervention input by the user, and evaluating the user responsive to the intervention and predetermined criteria.

Abstract: The present invention is generally related to a computer architecture and process for evaluating and reporting on a user's competence in managing a simulation of a complex system modeled in a computer based testing and training system. The simulation may be called a “virtual system.” The method generates evaluation criteria responsive to a user profile, user choices in managing the virtual system, and events that occur during a simulation, in addition to the original state of the system. The method produces summary evaluations responsive to a plurality of characteristics of the simulated system. The implementation may be advantageously employed to evaluate a medical clinician's management of computer-simulated human patients, hereinafter called “virtual patients”. The present invention is also suitable for evaluation of user management of a plurality of complex systems including but not limited to animals, plants, cells, machines, and populations.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A computer implemented simulation and evaluation method simulates interventions to a patient by a user, and evaluates the interventions responsive to predetermined criteria and the interventions. The method includes defining a test area to evaluate the user to at least one of predetermined criteria and a user profile, selecting genetic information of the patient responsive to the test area, and generating a patient history responsive to the test area and the genetic information. The method also includes receiving at least one intervention input by the user, and evaluating the user responsive to the intervention and predetermined criteria.

Abstract: A computer implemented simulation and evaluation method simulates interventions to a patient by a user, and evaluates the interventions responsive to predetermined criteria and the interventions. The method includes defining a test area to evaluate the user to at least one of predetermined criteria and a user profile, selecting genetic information of the patient responsive to the test area, and generating a patient history responsive to the test area and the genetic information. The method also includes receiving at least one intervention input by the user, and evaluating the user responsive to the intervention and predetermined criteria.