Abstract: A system, method, and computer program product are provided for reducing ripple in a filter bank. For a given fixed number of linearly-spaced filters in the filter bank, a monotonically increasing function for a Q-factor is specified for the filter bank. Adjustments to each filter's Q-factor based on the Q-factor function are made in order to produce a nearly constant filter bank ripple throughout the filter bank's frequency response range.

Abstract: Pharmaceutical compositions comprising 3-(6-(1-(2,2-difluorobenzo[d][1,3]dioxol-5-yl)cyclopropanecarboxamido)-3-methylpyridin-2-yl)benzoic acid (Compound 1) in Form I and a solid dispersion comprising substantially amorphous N-(5-hydroxy-2,4-ditert-butyl-phenyl)-4-oxo-1H-quinoline-3-carboxamide (Compound 2), methods of treating, lessening the severity of, or symptomatically treating CFTR mediated diseases, such as cystic fibrosis, methods of manufacturing, methods of administering, and kits thereof are disclosed.

Abstract: A mobile flocculation and water treatment system includes at least one tank, preferably a series of adjoining tanks separated by weirs, and an adjacent pump house mounted on a mobile platform. At least one pump is mounted in the pump house. Fluid conduits run from the pumps to the tank. An overflow is mounted between the downstream tank and the pump house whereby fluid overflow from the tanks is directed into the pump house. The pump house provides a substantially water-tight reservoir zone to provide secondary containment. Water to be treated enters the upstream end of the tanks and is discharged from the downstream end.

Abstract: The present invention relates to the provision of micron or sub-micron sized particles formed from one or more water-soluble crystals comprising a surface coating comprising one or more bioactive molecules wherein the particles are prepared such that in use the release of the bioactive molecule(s) is/are delayed and/or continually released over a period of time. Processes for the preparation of said particles, as well as the particles themselves are described, as well as uses of the particles.

Abstract: The disclosed systems and methods are directed to interfaces, and more particularly, to an audio feedback system for touch interface. This touch interface allows a user to interact with a touchscreen without a priori knowledge of where items are located on the touchscreen or even the relative orientation of that touchscreen. For instance, this interface may operate responsive to relative offset between touches.

Abstract: The systems and methods are directed to mechanical arms and manipulators, and more particularly, to optical distance sensors in use for approach, grasping and manipulation. The system may include a manipulator having an arm and a multi fingered end-effector coupled to the distal end of the arm. The end-effector may include an optical proximity sensor configured to detect the distance to an object prior to contact with the object. The end-effector may include an optical proximity sensor configured detect a measurement of force applied to the object by the manipulator post contact with the object. The measurement of force may be a range of force measurements including a minimum, a maximum and a measurement between or within the minimum and the maximum.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: Systems, methods, and computer program products are provided to provide noise reduction for an input signal using a neural network. A feed-forward set of neuron groups is provided to enhance neuron activity within a particular frequency band based on prior reception of activity within that frequency band, and also to attenuate surrounding frequency bands. A surround-inhibition set of neuron groups further attenuates activity surrounding the stimulated frequency band.

Abstract: A method is described for supplementing a live broadcast. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors to perform the method. The server system receives first keywords related to the live broadcast. The server system then receives a plurality of input streams, wherein each input stream includes a plurality of events. The server system then extracts second keywords from the plurality of events. The server system then determines the relevance of each event in the plurality of events to the live broadcast by correlating the first and second keywords. The server system then transmits the relevant events to a client device.

Abstract: Disclosed are systems, apparatuses, and methods for clustering data. Such a method includes providing input data to each of a plurality of cluster microcircuits of a neural network, wherein each cluster microcircuit includes a mean neural group and a variance neural group. The method also includes determining a response of each cluster microcircuit with respect to the input data. The method further includes modulating the mean neural group and the variance neural group of each cluster microcircuit responsive to a value system.

Abstract: Disclosed are systems, methods, and computer-program products for segmenting content of an input signal and applications thereof. In an embodiment, the system includes simulated neurons, a phase modulator, and an entity-identifier module. Each simulated neuron is connected to one or more other simulated neurons and is associated with an activity and a phase. The activity and the phase of each simulated neuron is set based on the activity and the phase of the one or more other simulated neurons connected to each simulated neuron. The phase modulator includes individual modulators, each configured to modulate the activity and the phase of each of the plurality of simulated neurons based on a modulation function. The entity-identifier module is configured to identify one or more distinct entities (e.g., objects, sound sources, etc.) included in the input signal based on the one or more distinct collections of simulated neurons that have substantially distinct phases.

Abstract: An air dryer having an internal orifice designed into an outlet end cap that eliminates the need for external valves or regulators to control the flow of air through the dryer. The internal orifice, which can be press-fit or threaded into the end cap, provides a consistent and stable outlet flow and dew point and eliminates the need for instruments to measure outlet flow and dew point. The orifice size can be easily changed for changing outlet flow and dew point. A protective tubular shroud is provided for shielding a membrane module of the dryer, and for routing sweep gas to a bottom vent.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: Disclosed are systems, apparatuses, and methods for clustering data. Such a method includes providing input data to each of a plurality of cluster microcircuits of a neural network, wherein each cluster microcircuit includes a mean neural group and a variance neural group. The method also includes determining a response of each cluster microcircuit with respect to the input data. The method further includes modulating the mean neural group and the variance neural group of each cluster microcircuit responsive to a value system.

Abstract: Systems, methods, and computer program products are provided to provide noise reduction for an input signal using a neural network. A feed-forward set of neuron groups is provided to enhance neuron activity within a particular frequency band based on prior reception of activity within that frequency band, and also to attenuate surrounding frequency bands. A surround-inhibition set of neuron groups further attenuates activity surrounding the stimulated frequency band.

Abstract: Disclosed are systems, apparatuses, and methods for implementing a competitive BCM learning rule used in a neural network. Such a method includes identifying a maximally responding neuron with respect to a feature of an input signal. The maximally responding neuron is the neuron in a group that has a response with respect to the feature of the input signal that is greater than a response of each other neuron in the group. Such a method also includes applying a learning rule to weaken the response of each other neuron with respect to the feature of the input signal. The learning rule may also strengthen the response of the maximally responding neuron with respect to the feature of the input signal.

Abstract: Disclosed are systems, methods, and computer-program products for segmenting content of an input signal and applications thereof. In an embodiment, the system includes simulated neurons, a phase modulator, and an entity-identifier module. Each simulated neuron is connected to one or more other simulated neurons and is associated with an activity and a phase. The activity and the phase of each simulated neuron is set based on the activity and the phase of the one or more other simulated neurons connected to each simulated neuron. The phase modulator includes individual modulators, each configured to modulate the activity and the phase of each of the plurality of simulated neurons based on a modulation function. The entity-identifier module is configured to identify one or more distinct entities (e.g., objects, sound sources, etc.) included in the input signal based on the one or more distinct collections of simulated neurons that have substantially distinct phases.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: The present invention relates to the provision of micron or sub-micron sized particles formed from one or more water-soluble crystals comprising a surface coating comprising one or more bioactive molecules wherein the particles are prepared such that in use the release of the bioactive molecule(s) is/are delayed and/or continually released over a period of time. Processes for the preparation of said particles, as well as the particles themselves are described, as well as uses of the particles.

Abstract: A power generation system. The exemplary system shown in FIGS. 1 and 2 includes a gas turbine (28), a gasifier (10) for generating gaseous fuel and a gas combustor (26) configured to receive the fuel and power the gas turbine (28). A drain collection and separation system (5) is positioned to collect gaseous fuel entrained in liquid and to separate the gaseous fuel from the liquid so the gaseous fuel can be cycled or disposed of separately from the liquid.