Abstract: A composition and method for a high solids yogurt with reduced water activity. The high solids yogurt can be formed, for example, by culturing a high solids milk. Lactose present in the high solids milk can be hydrolyzed to glucose and galactose. Water activity of the yogurt can be further reduced by applying a vacuum-dehydration process to the high solids yogurt. The water activity of the yogurt can also be reduced by adding solutes to the yogurt. The composition can be used in food products, either in isolation or in combination with other components, for example, grain-based components.

Abstract: A composition and method for a high solids yogurt with reduced water activity. The yogurt can be formed, for example, by adding solutes to a cultured high solids milk until the yogurt has a water activity of about 0.86 or less. Lactose present in the high solids milk can be hydrolyzed to glucose and galactose. The composition can be used in food products, either in isolation or in combination with other components, for example, grain-based components.

Abstract: A composition and method for a high solids yogurt with reduced water activity. The yogurt can be formed, for example, by adding solutes to a cultured high solids milk until the yogurt has a water activity of about 0.86 or less. Lactose present in the high solids milk can be hydrolyzed to glucose and galactose. The composition can be used in food products, either in isolation or in combination with other components, for example, grain-based components.

Abstract: A composition and method for a high solids yogurt with reduced water activity. The high solids yogurt can be formed, for example, by culturing a high solids milk. Lactose present in the high solids milk can be hydrolyzed to glucose and galactose. Water activity of the yogurt can be further reduced by applying a vacuum-dehydration process to the high solids yogurt. The water activity of the yogurt can also be reduced by adding solutes to the yogurt. The composition can be used in food products, either in isolation or in combination with other components, for example, grain-based components.

Abstract: A method of creating a visual display based on a plurality of data sources is provided. An exemplary embodiment of the method comprises extracting a set of extracted data from the plurality of data sources and processing at least a portion of the extracted data with a set of knowledge agents according to specific criteria to create at least one data assemblage. The exemplary method also comprises providing an integrated two-dimensional/three-dimensional (2D/3D) visual display in which at least one 2D element of the at least one data assemblage is integrated into a 3D visual representation using a mapping identifier and a criteria identifier.

Abstract: There is provided a method for predicting behavior of a physical system. An exemplary method comprises identifying a set of input variables that have an impact on an output metric and identifying a subset of the set of input variables the subset having a relatively larger impact on the output metric. A physical property model is built to predict the output metric as a function of the subset of the set of input variables. Postulated changes in the subset of the set of input variables are probabilistically ranked using the physical property model. Behavior of the physical system is predicted based on the rank of the postulated changes.

Abstract: A method of creating a visual display based on a plurality of data sources is provided. An exemplary embodiment of the method comprises extracting a set of extracted data from the plurality of data sources and processing at least a portion of the extracted data with a set of knowledge agents according to specific criteria to create at least one data assemblage. The exemplary method also comprises providing an integrated two-dimensional/three-dimensional (2D/3D) visual display in which at least one 2D element of the at least one data assemblage is integrated into a 3D visual representation using a mapping identifier and a criteria identifier.

Abstract: A method for performing region growing in a data volume that accounts for noise in the data on a probabilistic basis. The data volume is divided into discrete cells, and a probability distribution for each cell's datum value is calculated. Each probability distribution is randomly sampled to generate one probabilistic, noise-free realization for the data volume, and region growing is performed using selected criteria. The process is repeated for different realizations until sufficient statistics are accumulated to estimate the probable size and connectivity of objects discovered.

Abstract: The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.

Abstract: A method for performing region growing in a data volume that accounts for noise in the data on a probabilistic basis. The data volume is divided into discrete cells, and a probability distribution for each cell's datum value is calculated. Each probability distribution is randomly sampled to generate one probabilistic, noise-free realization for the data volume, and region growing is performed using selected criteria. The process is repeated for different realizations until sufficient statistics are accumulated to estimate the probable size and connectivity of objects discovered.

Abstract: The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.