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A method of determining flow through a valve includes determining a first differential pressure across the valve. The valve is bypassed and a second differential pressure is determined across the valve. A flow decision is determined for the valve based on comparison of the first and second different

A method of determining flow through a valve includes determining a first differential pressure across the valve. The valve is bypassed and a second differential pressure is determined across the valve. A flow decision is determined for the valve based on comparison of the first and second differential pressures. A method of testing a relief valve in a reduced pressure backflow preventer assembly includes determining a first differential pressure across an upstream check valve during a no flow condition. The upstream check valve is bypassed for the purpose of opening a relief valve, and a zone vent is opened.

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A method of determining flow through a valve includes determining a first differential pressure across the valve. The valve is bypassed and a second differential pressure is determined across the valve. A flow decision is determined for the valve based on comparison of the first and second different

A method of determining flow through a valve includes determining a first differential pressure across the valve. The valve is bypassed and a second differential pressure is determined across the valve. A flow decision is determined for the valve based on comparison of the first and second differential pressures. A method of testing a relief valve in a reduced pressure backflow preventer assembly includes determining a first differential pressure across an upstream check valve during a no flow condition. The upstream check valve is bypassed for the purpose of opening a relief valve, and a zone vent is opened. n Display Profiling of Cancer Progression Directly From Human tissue Using a Protein Biochip", Drug Development Research, 2000pp. 34-42, vol. 49. Anil K. Jain, et al., "Statistical Pattern Recognition: A Review", IEEE Transactions on Pattern Analysis and Machine intelligence, Jan. 2000, pp. 4-37, vol. 22, No. 1. Sandrine Dudoit, et al., "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data", Technical report #576, Jun. 2000, pp. 1-43. Dudoit, S., et al., "Comparison of discrimination methods for the classification of tumors using gene expression data", UC Berkeley, Slides, 52 pages, URL=http://stat-www.berkeley.edu/users/terry/zarray/Html/discr.html, (Mar. 7, 2000). Nikulin, Alexander E., et al., "Near-optimal region selection for feature space reduction: novel preprocessing methods for classifying MR spectra", NMR in Biomedicine, (1998), 209-216, vol. 11. Alaiya et al., "Classification of Human Ovarian Tumors Using Multivariate Data Analysis of Polypeptide Expression Patterns." Int. J. Cancer, vol. 86, pp. 731-736, Wiley-Liss, Inc., (2000). Bailey-Kellogg et al., "Reducing Mass Degeneracy in SAR by MSby Stable Isotopic Labeling." Journal of Computational Biology, vol. 8, No. 1, pp 19-36, Mary Ann Liebert, Inc., (2001). Caprioli et al. "Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS." Analytical Chemistry, vol. 69, No. 23, pp 4751-4760, American Chemical Society, (Dec. 1, 1997). George, "A Visualization and Design Tool (AVID for Data Mining with the Self-Organizing Feature Map." International Journal on Artificial Intelligence Tools, vol. 9, No. 3, pp. 369-375, World Scientific Publishing Company, (2000). Kohavi et al., "Wrappers for Feature Subset Selection." Artificial Intelligence, vol. 97, No. 1-2, pp. 273-324, Elsevier Science B.V., (1997). Marvin et al., "Characterization of a novel Sepia officinalis neuropeptide using MALDI-TOF MS and post-source decay analysis." Peptides