Abstract: A wireless hoist system including a first hoist device having a first motor and a first wireless transceiver and a second hoist device having a second motor and a second wireless transceiver. The wireless hoist system includes a controller in wireless communication with the first wireless transceiver and the second wireless. The controller is configured to receive a user input and determine a first operation parameter and a second operation parameter based on the user input. The controller is also configured to provide, wirelessly, a first control signal indicative of the first operation parameter to the first hoist device and provide, wirelessly, a second control signal indicative of the second operation parameter to the second hoist device. The first hoist device operates based on the first control signal and the second hoist device operates based on the second control signal.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: A coal-air separator to be used in combination with a pulverized coal-fired burner having an elbow section and a wye section. The wye section is flow connected to the outlet of the elbow so that the coal-rich portion is transported through the main fuel conduit to the burner. The coal lean portion is transported through the take-off conduit, the outlet being positioned outside the furnace windbox.

Abstract: An improved pulverized fuel burning method and apparatus having means for decreasing the pressure drop through the burner nozzle and decreasing the formation of nitric oxides, including a splash plate to breakup a natural forming fuel-rope, a deflector to deflect the fuel-rope, and a diffuser to disperse the pulverized fuel into a more desirable fuel burning distribution pattern.