Abstract: Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

Abstract: Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

Abstract: A propulsion system is provided. The propulsion system comprises a ducted electric bypass fan and an electrical generator powered by a turbine in an engine and configured to provide electricity to the electric bypass fan.

Abstract: Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

Abstract: A propulsion system is provided. The propulsion system comprises a ducted electric bypass fan and an electrical generator powered by a turbine in an engine and configured to provide electricity to the electric bypass fan.

Abstract: Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

Abstract: A cement mixture suitable for use with ceramic honeycomb bodies, such as for forming an outer layer on the outer periphery of the honeycomb body, or for forming plugs in the honeycomb body. The cement mixture, when fired, preferably exhibits low coefficient of thermal expansion and high strength. The cement mixture can be applied to a green honeycomb body and simultaneously fired with the green body or can be applied to an already fired ceramic honeycomb body and then fired. Includes cement mixture comprising a plurality of inorganic components comprising talc, kaolin, alumina, silica, and aluminum hydroxide, wherein the mixture contains less than or equal to 18.0% silica and greater than or equal to 17.0% aluminum hydroxide, in percent by weight of the inorganic components.

Abstract: A method for text prediction for cell phone text messaging or for other applications. The preferred embodiment for predictive text involves the use of weighted positional digrams and a partial word dataset as well as optional elements involving three different types of voice recognition. Alternative embodiments involve the use of trigrams and quadgrams. The use of this text prediction system for a crossword game application is also described.

Abstract: Disclosed are cements for ceramic honeycomb bodies. Such cements can be applied to a fired ceramic honeycomb body then fired, or can be applied to an unfired (green) honeycomb body and co-fired with the green honeycomb body. The cement can also be used to plug one or more cells in a honeycomb body, wherein the cement can be inserted into a green or a fired ceramic honeycomb body, then fired. Also disclosed are methods of manufacturing a ceramic honeycomb article with the cement.

Abstract: Disclosed are plugging mixtures for a ceramic wall flow filter, comprising an aluminum titanate precursor reactive batch composition including an alumina source, a silica source, and a titania source; a sintering aid; an organic binder; and a liquid vehicle. Also disclosed are ceramic wall flow filters comprised of end plugs formed from the plugging mixtures of the present invention and methods for the manufacture thereof.

Abstract: Disclosed are cements for ceramic honeycomb bodies. Such cements can be applied to a fired ceramic honeycomb body then fired, or can be applied to an unfired (green) honeycomb body and co-fired with the green honeycomb body. The cement can also be used to plug one or more cells in a honeycomb body, wherein the cement can be inserted into a green or a fired ceramic honeycomb body, then fired. Also disclosed are methods of manufacturing a ceramic honeycomb article with the cement.

Abstract: A cement mixture suitable for use with ceramic honeycomb bodies, such as for forming an outer layer on the outer periphery of the honeycomb body, or for forming plugs in the honeycomb body. The cement mixture, when fired, preferably exhibits low coefficient of thermal expansion and high strength. The cement mixture can be applied to a green honeycomb body and simultaneously fired with the green body or can be applied to an already fired ceramic honeycomb body and then fired. Includes cement mixture comprising a plurality of inorganic components comprising talc, kaolin, alumina, silica, and aluminum hydroxide, wherein the mixture contains less than or equal to 18.0% silica and greater than or equal to 17.0% aluminum hydroxide, in percent by weight of the inorganic components.

Abstract: Disclosed are plugging mixtures for a ceramic wall flow filter, comprising an aluminum titanate precursor reactive batch composition including an alumina source, a silica source, and a titania source; a sintering aid; an organic binder; and a liquid vehicle. Also disclosed are ceramic wall flow filters comprised of end plugs formed from the plugging mixtures of the present invention and methods for the manufacture thereof.

Abstract: A method for forming honeycomb structures, such as wall-flow honeycomb filters, which utilizes extrusion of multiple material supplies at once. Such methods may be used to form intermittent plugs or other structures in the cell channels during the extrusion process, for example. A die assembly is provided which includes secondary feedholes machined in the pins for intermittently or periodically injecting secondary material (e.g., plug material) into the cell channels of the honeycomb structure while it is being extruded.

Abstract: A safety device for shutting off the flow of gas to a gas-fired appliance in the presence of flammable vapors. The resistance of a variable resistance flammable vapor sensor is monitored by a microprocessor that controls the operation of a gas flow valve. When the measured resistance indicates the presence of a preselected concentration of flammable vapors, the gas flow valve is shut of and the ignition system cannot be energized.