ity to catalyse a wide range of biochemi-cal reactions. They are involved in the dehydrogenation of a variety of metabo-lites, in one- and two-electron transfer from and to redox centres, in light emission, in the activation of oxygen for oxidation and hydroxylation reactions1. Because of the extraordinary spectro-scopic properties of the flavin cofactor, flavoproteins are perfectly suited to detailed enzymological studies1. As a result, they have emerged as one of the best-studied enzyme families. Our understanding of flavin chem-istry has been augmented in the recent

for a minimum of 10 years. Analysis of expert performance provides unique evidence on the potential and limits of extreme environmental adaptation and learning. Our civilization has always recognized exceptional individuals, whose performance in sports, the arts, and science is vastly superior

the Internet. It can be used to support a variety of peer-to-peer applications, including global data storage, data sharing, group communication and naming. Each node in the Pastry network has a unique identifier (nodeId). When presented with a message and a key, a Pastry node efficiently routes the message

. Coupled with upper level graduate courses with an emphasis on DoN/DoD problems are the experience of these officers and unique facilities that allow research up to the Secret Compartmented Information (SCI) level. These assets allow for a dynamic “classified research environment. ” This article contains

this through the use of a virtual machine monitor. Using this approach allows us to isolate the IDS from the monitored host but still retain excellent visibility into the host's state. The VMM also offers us the unique ability to completely mediate interactions between the host software and the underlying

from the start that I have no illusions about my ability to become expert in all of the disciplines touched on by this enterprise; accordingly my effort should be regarded with suspicion by all; at best, it will probably prove to be no more than a guide to some of the important questions that remain

especially for domains in which the attributes are numeric, although they can be adapted to symbolic or mixed symbolic/numeric attributes. We present extensive empirical studies, using both real and artificial data, that analyze OC1's ability to construct oblique trees that are smaller and more accurate

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as well as unique effects on protein expression. Molecular & Cellular Proteomics 3:1154 -1169, 2004. An initial step in the systematic investigation of cellular processes is the identification and measurement of expression levels of relevant sets of proteins. Recently, quantitative approaches

of ability to quantify statistical significance. We present an integrated approach to Probabilistic ICA for FMRI data that allows for non-square mixing in the presence of Gaussian noise. We employ an objective estimation of the amount of Gaussian noise through Bayesian analysis of the true dimensionality