Abstract: Examples of the disclosure enable a user to evaluate a credibility of a website and/or a merchant in a remote financial transaction. In some embodiments, a request for a score is received from a client device. The request includes usage data associated with the client device. A website and/or merchant is identified based on the usage data, and customer experience-related data associated with the website and/or the merchant are retrieved from one or more sources. A first score is generated at a score generator based on the retrieved customer experience-related data, and the first score is transmitted to the client device for presentation at the client device.

Abstract: Examples of the disclosure enable a user to evaluate a credibility of a website and/or a merchant in a remote financial transaction. In some embodiments, a request for a score is received from a client device. The request includes usage data associated with the client device. A website and/or merchant is identified based on the usage data, and customer experience-related data associated with the website and/or the merchant are retrieved from one or more sources. A first score is generated at a score generator based on the retrieved customer experience-related data, and the first score is transmitted to the client device for presentation at the client device.

Abstract: A system is disclosed for determining the total torque required at the main and tail rotors of a helicopter for use in feed-forward rotor torque anticipation which includes a polynomial neural network adapted and configured to predict the aerodynamic torque at the main and tail rotors with the helicopter in motion based upon a plurality of pilot inputs and airframe inputs, a main rotor load map for determining the torque at the main rotor in hover out of ground effects based upon main rotor speed and collective stick position, a tail rotor load map for determining the torque at the tail rotor with the helicopter stationary based upon main rotor speed and pedal position, and a processor for calculating the required total torque at the main and tail rotors by summing the outputs of the polynomial neural network, and the main and tail rotor load maps.

Abstract: A property manager layer retrieves from a persistence layer values of properties used by a software application and provides the values to the application at run time. A user interface layer accepts user input to update at least one of the properties. The persistence layer is responsive to the user interface layer to update the properties based on the user input. The user interface layer notifies the property manager layer that the at least one of the properties has been updated. The property manager layer notifies a property listener for the software application if any updated property value is used by the software application. The property listener modifies at least one program variable in the software application that is dependent on an updated property value without restarting the software application.

Abstract: A crop residue chopper for an agricultural combine including a spaced array of stationary knives. A rotor of the chopper is rotatable about an axis therethrough and includes mounting elements in axially spaced relation, and a plurality of offset knives, each of the offset knives including a mounting end portion fixedly mountable on one of the mounting elements and a an opposite free end portion disposed so as to extend radially outwardly in axially offset relation to the mounting end portion when mounted on the mounting element.

Abstract: A crop residue chopper for an agricultural combine including a spaced array of stationary knives. A rotor of the chopper is rotatable about an axis therethrough and includes mounting elements in axially spaced relation, and a plurality of offset knives, each of the offset knives including a mounting end portion fixedly mountable on one of the mounting elements and a an opposite free end portion disposed so as to extend radially outwardly in axially offset relation to the mounting end portion when mounted on the mounting element.

Abstract: A system is disclosed for determining the total torque required at the main and tail rotors of a helicopter for use in feed-forward rotor torque anticipation which includes a polynomial neural network adapted and configured to predict the aerodynamic torque at the main and tail rotors with the helicopter in motion based upon a plurality of pilot inputs and airframe inputs, a main rotor load map for determining the torque at the main rotor in hover out of ground effects based upon main rotor speed and collective stick position, a tail rotor load map for determining the torque at the tail rotor with the helicopter stationary based upon main rotor speed and pedal position, and a processor for calculating the required total torque at the main and tail rotors by summing the outputs of the polynomial neural network, and the main and tail rotor load maps.