Abstract: A rack system movable by a forklift having blades that can be selectively raised and lowered. The rack system includes a rack and a hitch device for connecting the forklift to the rack. The rack includes a structure configured for supporting and transporting materials, at least one wheel located at a first end of the structure, and a hitch bracket located at a second end of the structure. The hitch device includes a body configured to be carried by the blades of the forklift, and an arm pivotably secured to the body, and an engagement member at the second end of the arm. Upward movement of the blades raises the engagement member into engagement with the hitch bracket so that further upward movement of the blades raises the second end of the rack and horizontal movement of the forklift rolls the rack on the at least one wheel.

Abstract: A rack system movable by a forklift having blades that can be selectively raised and lowered. The rack system includes a rack and a hitch device for connecting the forklift to the rack. The rack includes a structure configured for supporting and transporting materials, at least one wheel located at a first end of the structure, and a hitch bracket located at a second end of the structure. The hitch device includes a body configured to be carried by the blades of the forklift, and an arm pivotably secured to the body, and an engagement member at the second end of the arm. Upward movement of the blades raises the engagement member into engagement with the hitch bracket so that further upward movement of the blades raises the second end of the rack and horizontal movement of the forklift rolls the rack on the at least one wheel.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity. Attributes may be compared to mathematical models. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, or an activity classification model, from the one or more activity classification models. An energy expenditure, or a classification of received data as a linear travel motion, may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Further, the systems and methods are configured to identify and quantify, using the one or more mathematical models, the motion data as linear travel motion associated with the user running or walking.

Abstract: A system for estimating power consumption of a user that selects a power estimation model based upon a type of sensor and/or a type of sensor data available to a power estimation system.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity. Attributes may be compared to mathematical models. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, or an activity classification model, from the one or more activity classification models. An energy expenditure, or a classification of received data as a linear travel motion, may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated.

Abstract: Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Further, the systems and methods are configured to identify and quantify, using the one or more mathematical models, the motion data as linear travel motion associated with the user running or walking.

Abstract: A method for displaying the direction of an external force relative to a craft is provided. The method comprises obtaining direction data for an external force, obtaining craft directional data, calculating the force's direction relative to the craft's direction, and displaying a graphical representation of the force's direction relative to the direction of the craft.

Abstract: A layered graphical display is provided. The layered graphical display comprises a plurality of graphics, wherein one or more of said plurality of graphics is overlaid onto one or more other graphics of said plurality of graphics. The layered graphical display also comprises a shaded region behind each of said one or more overlying graphics which distinguishes the one or more overlying graphics from the one or more other graphics.

Abstract: A process belt and method for manufacturing the same are provided. The belt includes at least one elongated resilient coupling filament operatively connected to a first end section of the belt and to a second end section of the belt such that the first end section, the second end section and a body portion of the belt are substantially continuous with one another. The belt is configured to operatively engage a board processing machine configured to process a board stock or other paper product.

Abstract: Specific binding agents that specifically recognize Src when it is phosphorylated at Ser17, and methods of their use, are disclosed. Methods of identifying abnormal cell proliferation by detecting a mutation in Src at Ser17 are disclosed. Methods of screening agents which alter proliferation, or which alter phosphorylation of Src at Ser17, are disclosed. Methods of altering cellular proliferation by altering phosphorylation of Src at Ser17 are disclosed.

Abstract: A deposition system for performing chemical vapor deposition comprising deposition chamber having a lid and a vaporizer attached to the lid is provided. Additionally, one or more valves disposed between the lid and the vaporizer to limit the flow of precursor material to the chamber and to improve purging of a precursor material delivery system attached to the vaporizer. The precursor delivery system has one or more conduction lines. One of the conduction lines is a flexible conduction line in the form of a multiple turn coil having a torsional elasticity suitable for allowing detachment of the lid from the chamber without having to break or disassemble a conduction line. Preferably, the flexible conduction line is a thirty (30) turn coil having a diameter of approximately three (3) inches fabricated from stainless steel tubing.

Abstract: A method and apparatus for control of precursor and purge additive materials in a deposition system comprising a precursor material delivery system and a plurality of purge additive transfer lines connected between or at components in the precursor material delivery system. One of the plurality of purge additive transfer lines is connected between an ampoule and a liquid mass flow controller, another is connected between the liquid mass flow controller and a vaporizer and a third is connected to the vaporizer. The apparatus further comprises a process chamber connected to the precursor material delivery system and having a susceptor wherein one of the plurality of purge additive transfer lines is connected to the susceptor. With the apparatus and accompanying method, formation of particulate contaminants is greatly reduced.

Abstract: An apparatus and method for controlling a flow of process material to a deposition chamber. The apparatus comprises an injector valve, disposed between the process material source and the deposition chamber. The injector valve controls the flow of precursor material by repeatedly opening and closing the injector valve with a predetermined duty cycle. The apparatus further comprises an evaporator coupled to the injector valve for evaporating the precursor.