Abstract: Peroxide treatment compositions for use in laundry capable of providing sanitization through the wash e.g., for use with a detergent, where a peroxide activator is stabilized without the presence of phosphorus-containing compounds (e.g., phosphorus-containing stabilizers), through use of a nonionic surfactant (e.g., alkoxylated alcohol) with a cloud point above 45° C. Use of a single nonionic surfactant, or a surfactant package that may include a small fraction (e.g., less than 0.5%) of sodium lauryl sulfate or another anionic surfactant has been found to be surprisingly effective at stabilizing the peroxide/activator combination, even where water content may be 85% or greater. The composition can have a pH of 5 or less (e.g., 3 to 4). The composition may be free of other anionic surfactants, cationic surfactants, zwitterionic surfactants, amphoteric surfactants, magnesium salts, borates and boric acid, hydroxides, chelating agents, various amine oxides, ethoxylated amines, and the like.

Abstract: The embodiments generally relate to a high performance ceramic anode which will increase flexibility in the types of fuels that may be used with the anode. The embodiments further relate to high-performance, direct-oxidation SOFC utilizing the anodes, providing improved electro-catalytic activity and redox stability. The SOFCs are capable of use with strategic fuels and other hydrocarbon fuels. Also provided are methods of making the high-performance anodes and solid oxide fuel cells comprising the anodes exhibiting improved electronic conductivity and electrochemical activity.

Abstract: A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.

Abstract: Near-offset and far-offset seismic data volumes are time-aligned by first selecting a plurality of time shifts. The near-offset and far-offset seismic data volumes are cross-correlated at the plurality of time shifts. An initial time-shift volume and a maximum correlation volume are created from the maximal cross-correlations at the plurality of time shifts. Areas of high time shift from the initial time-shift volume and areas of low cross-correlation from the maximum correlation volume are determined. The determined areas of high time shift and low cross-correlation are filtered from the initial time-shift volume, generating a filtered time-shift volume. The filtered time-shift volume is applied to the far-offset seismic volume to generate a time-aligned far-offset volume.

Abstract: AVO anomalies are classified in near-offset and far-offset seismic data volumes, by first calculating a plurality of initial AVO seismic attributes representative of the offset seismic data volumes. A probabilistic neural network is constructed from the calculated initial AVO seismic attributes. AVO anomaly classifications are calculated in a portion of the offset seismic data volumes. The preceding steps are repeated until the calculated AVO anomaly classifications in the portion of the offset seismic data volumes are satisfactory. AVO anomaly classifications are calculated throughout the offset seismic data volumes using the constructed probabilistic neural network.

Abstract: A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.

Abstract: A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.

Abstract: AVO anomalies are classified in near-offset and far-offset seismic data volumes, by first calculating a plurality of initial AVO seismic attributes representative of the offset seismic data volumes. A probabilistic neural network is constructed from the calculated initial AVO seismic attributes. AVO anomaly classifications are calculated in a portion of the offset seismic data volumes. The preceding steps are repeated until the calculated AVO anomaly classifications in the portion of the offset seismic data volumes are satisfactory. AVO anomaly classifications are calculated throughout the offset seismic data volumes using the constructed probabilistic neural network.

Abstract: Near-offset and far-offset seismic data volumes are time-aligned by first selecting a plurality of time shifts. The near-offset and far-offset seismic data volumes are cross-correlated at the plurality of time shifts. An initial time-shift volume and a maximum correlation volume are created from the maximal cross-correlations at the plurality of time shifts. Areas of high time shift from the initial time-shift volume and areas of low cross-correlation from the maximum correlation volume are determined. The determined areas of high time shift and low cross-correlation are filtered from the initial time-shift volume, generating a filtered time-shift volume. The filtered time-shift volume is applied to the far-offset seismic volume to generate a time-aligned far-offset volume.

Abstract: A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.

Abstract: A portable, low cost, laser detection system which generates an alarm signal that can be used to produce visual and/or audible warnings indicating the range, location and type laser energy detected. Such laser detection system utilizes a cooperating quadraplex sensor assembly, to provide a complete 360 degree laser detection coverage, mounted on a helmet assembly which includes a helmet shell, a cushioned impact liner coextensive with the interior surface of the helmet shell and a suspended crown support liner the combination of which provides enhanced protection of the user and stabilization of the laser detection system.

Abstract: There is described an integrated reconfigurable man-portable communication system, adapted particularly for use in military or law enforcement tactical situations, including a modular compact computer with mission oriented hardware and software which provides the focal point for integration of various peripheral systems. The reconfigurable man-portable system provides a ballistic helmet with an integrated audio headset assembly. The helmet also includes a modular heads-up display assembly for providing remote viewing via a helmet mounted laser detection system, weapon mounted thermal weapons site, remote video system, and laser range finder/digital compass assembly.