Abstract: Embodiments of the invention provide a pool cleaner including a supply mast, a distributor manifold, and a venturi vacuum assembly. The distributor manifold receives water from the supply mast and the venturi vacuum assembly is in fluid communication with the distributor manifold. The venturi vacuum assembly includes a suction mast, at least one first stage jet nozzle directed upward and into the suction mast, and at least one second stage jet nozzle positioned vertically above the at least one first stage jet nozzle and directed upward and into the suction mast.

Abstract: Embodiments of the invention provide a light module for a pool cleaner. The light module can include a housing, a paddle wheel, a generator, and at least one light emitting diode (LED). The housing can be removably coupled to the pool cleaner and can include a flow directing portion positioned in a fluid path of the pool cleaner. The paddle wheel can be located adjacent to the flow directing portion and can rotate in response to fluid flow through the fluid path. The generator can be coupled to the paddle wheel and can generate power through rotation of the paddle wheel. The LED can be coupled to the generator and can receive the generated power from the generator to illuminate an area adjacent to the pool cleaner.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Embodiments of the invention provide a pool cleaner including a supply mast, a distributor manifold, and a venturi vacuum assembly. The distributor manifold receives water from the supply mast and the venturi vacuum assembly is in fluid communication with the distributor manifold. The venturi vacuum assembly includes a suction mast, at least one first stage jet nozzle directed upward and into the suction mast, and at least one second stage jet nozzle positioned vertically above the at least one first stage jet nozzle and directed upward and into the suction mast.

Abstract: Embodiments of the invention provide a system and method for operating a pressure-driven pool cleaner. The system includes a hydraulic timer assembly and a venturi vacuum assembly. The method includes directing water to the hydraulic timer assembly and the venturi vacuum assembly, driving the pressure-driven pool cleaner with the hydraulic timer assembly according to a timed movement cycle including a combination of backward movement and forward movement, and suctioning debris with the venturi vacuum assembly. The venturi vacuum assembly is independent of the hydraulic timer assembly so that suctioning occurs during the backward movement and the forward movement.

Abstract: Embodiments of the invention provide a pool cleaner for use in a swimming pool or spa including a front wheel assembly and a scrubber assembly. The scrubber assembly is engagable with inner gear teeth of the front wheel assembly so that rotation of the front wheel assembly causes rotation of the scrubber assembly. The scrubber assembly includes at least one pinion gear and at least one end bracket rotatable about the at least one pinion gear to substantially lift the scrubber assembly over objects in the swimming pool or spa.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: The invention features compounds that have antibacterial activity, their use for the treatment of bacterial infections, screening methods that use whole animals or plant seedlings to identify compounds that inhibit a pathogen in the animal or plant, and screening methods to identify compounds that increase the lifespan of an organism.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets are disclosed. In one embodiment, the method includes selecting a metric for determining substantially optimal combination of true positives and false positives in a data set, applying an optimization technique, and obtaining, from the results of the optimization technique, a value for at least one optimization parameter, the value for at least one optimization parameter resulting in substantially optimal combination of true positives and false positives. A number of true positives and a number of false positives are a function of the one or more optimization parameters.

Abstract: Methods and systems for high-confidence utilization of datasets

Abstract: A backup valve for use with a pool cleaner coupled to a source of water under pressure. The valve includes a housing having an inlet and at least a first outlet and a second outlet. The valve further includes a timing apparatus directing water from said inlet to the first outlet or the second outlet. In addition, an adjustable flow controller over the second outlet is provided to increase the flow speed of fluid exiting the outlet.