Abstract: Embodiments of the present invention include inhalable composition, comprising milrinone or a pharmaceutically acceptable salt thereof, a pharmaceutically acceptable carrier, an excipient, a surfactant; the composition being capable of being administered by inhalation.

Abstract: Embodiments of the present invention include inhalable composition, comprising milrinone or a pharmaceutically acceptable salt thereof, a pharmaceutically acceptable carrier, an excipient, a surfactant; the composition being capable of being administered by inhalation.

Abstract: An adaptive marketing image recognition system enables internet-based interactivity between individuals, commercial entities, and internet-based social networks. The system may receive a digital image from an individual and process the images to recognize at least one marketing image contained within the digital image. The system may identify at least one commercial entity associated with the marketing image, and provide a marketing response to the individual that may be tailored to the individual. The system may additionally provide marketing responses to members of an internet-based social network to which the individual belongs. Marketing metrics associated with the recognized marketing image and distribution of marketing responses may be compiled by the system and provided to the at least one commercial entity.

Abstract: A system for computing probabilities of variables in a belief network includes a data acquisition interface configured to receive data representative of the belief network. The system further includes a partial evaluator configured to carry out a partial evaluation algorithm that determines the probability calculations that must be performed on the received data in order to compute the probabilities of the variables in the belief network. The system further includes a source code generator configured to output the probability calculations as a source code in a programming language.

Abstract: An application for developing and using a model of a Bayesian Network to compute beliefs. The application provides an interface through which a user may specify the construction of the Bayseian Network, such as by specifying nodes in the network, parameters associated with the nodes, conditional probability distributions associated with the parameters or evidence that a parameter has a particular value. The application builds an inference engine based on user input specifying the construction of the Bayesian Network and uses it to compute beliefs. The application provides a user interface through which a user may specify the construction of the Bayesian Network and automatically updates an output reflecting beliefs. The input and output information may be available to the user simultaneously without switching operating modes of the application.