Abstract: Certain embodiments involve generating or optimizing a neural network for risk assessment. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used both for accurately determining risk indicators or other outputs using predictor variables and for determining adverse action codes explaining the predictor variables' effect or an amount of impact on the risk indicator.

Abstract: Certain aspects involve building and debugging models for generating source code executed on data-processing platforms. A target data-processing platform is identified that requires bin ranges for modeling coefficients and reason codes for input attributes. A processor outputs source code, which is generated from a modeling code, in a programming language used by the target data-processing platform.

Abstract: Certain embodiments involve generating or optimizing a neural network for risk assessment. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a risk indicator. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the risk indicator. The optimized neural network can be used both for accurately determining risk indicators using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the risk indicator. The neural network can be used to generate adverse action codes upon which consumer behavior can be modified to improve the risk indicator score.

Abstract: A gas turbine engine impact liner is disclosed. The impact liner may include a base sheet, a plurality of stanchions extending from the base sheet, and a plurality of supports, each being operatively associated with one of the plurality of stanchions.

Abstract: A fan blade platform is provided. The fan blade platform may include a wall, a first sidewall extending from the flowpath to a circular member, and a second sidewall extending from the flowpath to the circular member. A stiffening member may also extend from the circular member to the flowpath and be formed integrally with the first sidewall, the second sidewall, and the flowpath.

Abstract: A fan assembly for a gas turbine engine is disclosed. The fan assembly may include a rotor, a plurality of airfoils extending radially from the rotor, and a platform surrounding the rotor and including a surface that defines a flow path between the plurality of airfoils. The platform may be configured to be disposable during a life of the gas turbine engine.

Abstract: Anti-rotation tabs for the platforms in the fan section of a gas turbine engine are provided. The anti-rotation tabs interface with the trailing edge of the spinner, thereby preventing the platform from rotating and twisting.

Abstract: A fan blade includes a tip assembly that is disposed on a blade body. The tip assembly has a leading edge wall disposed proximate a leading edge of the blade body, a trailing edge wall disposed proximate a trailing edge of the blade body, a suction side wall that extends between the leading edge wall and the trailing edge wall, a pressure side wall disposed opposite the suction side wall and extends between the leading edge wall and the trailing edge wall, and a tip wall that extends between the leading edge wall, the trailing edge wall, the suction side wall, and the pressure side wall and is disposed parallel to the tip.

Abstract: A system and method for streaming video with dynamic user features enable content distribution systems to increase a user's total watch time. Automated playback and pause modes are disclosed that allow a user to select a preferred playback mode and have that mode persist across sessions and application launches.

Abstract: A fan blade platform is provided. The fan blade platform may include a wall, a first sidewall extending from the flowpath to a circular member, and a second sidewall extending from the flowpath to the circular member. A stiffening member may also extend from the circular member to the flowpath and be formed integrally with the first sidewall, the second sidewall, and the flowpath.

Abstract: A blower assembly having a blower housing, an impeller fan within the blower housing, the impeller fan being adapted for rotation about an axis and having a plurality of impeller blades and having an axial length, a motor having a stator and a rotor, the motor having an axial length, the rotor being configured to rotate relative to the stator for rotation about the axis, the rotor and the impeller fan being coupled so that the impeller fan rotates with the rotor about the axis, wherein a ratio of the axial length of the motor to the axial length of the impeller fan is less than 0.3, and a motor support bracket operatively securing the stator to one of the first and second side walls of the blower housing.

Abstract: Certain embodiments involve generating or optimizing a neural network for risk assessment. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a risk indicator. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the risk indicator. The optimized neural network can be used both for accurately determining risk indicators using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the risk indicator. The neural network can be used to generate adverse action codes upon which consumer behavior can be modified to improve the risk indicator score.

Abstract: A gas turbine engine includes a core engine, a fan coupled to be driven by the core engine, a first case structure around the core engine and a second case structure around the fan. The first case structure and the second case structure define a bypass passage there between. A vane structure includes an airfoil extending radially between the first case structure and the second case structure. A seal is configured to control leakage between the bypass passage and a core engine.

Abstract: Certain embodiments involve generating or optimizing a neural network for generating analytical or predictive outputs. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a response variable. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the response variable. The optimized neural network can be used both for accurately determining response variables using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the response variable.

Abstract: A system and method for streaming video with dynamic user features enable content distribution systems to increase a user's total watch time. A user behavior server proposes additional watch recommendations to a user in response to detecting certain user behavior. Autoplay and autoscroll functionality is provided that permits a user to browse a video feed during playback of selected content. Global play and pause modes are disclosed that allow a user to select a preferred playback mode and have that mode persist across session and application launches.

Abstract: A rotor for connection to a stationary member for use in an electric machine is provided. The rotor includes a body defining a center of rotation of the body. The body further defines a first surface extending in a direction generally perpendicular to the center of rotation. The rotor also includes a magnet connected to the body and an adhesive. The adhesive is positioned between the magnet and the body. The adhesive is adapted to assist in securing the magnet to the body. The first surface of the body is adapted to permit removal of material from the body and to assist in balancing the rotor.

Abstract: A method of touch gesture control of video playback is discloses. The method includes providing a video item for playback The method also receives an indication of a touch gesture made by a user of mobile user device. The method further determines whether the touch gesture is a swipe gesture within a portion of a user interface (UI) including a media player to play the video item. The method also moves the playback of the video item from a first point in time to a second point in time by a predetermined amount of time in response to determining the touch gesture is the swipe gesture within the portion of the UI comprising the media player.

Abstract: A system and method for streaming video with dynamic user features enable content distribution systems to increase a user's total watch time. A user behavior server proposes additional watch recommendations to a user in response to detecting certain user behavior. Autoplay and autoscroll functionality is provided that permits a user to browse a video feed during playback of selected content. Global play and pause modes are disclosed that allow a user to select a preferred playback mode and have that mode persist across session and application launches.

Abstract: A fan blade platform is provided. The fan blade platform may include a wall, a first sidewall extending from the flowpath to a circular member, and a second sidewall extending from the flowpath to the circular member. A stiffening member may also extend from the circular member to the flowpath and be formed integrally with the first sidewall, the second sidewall, and the flowpath.