Michael Milliken

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Energy in bicycling is primarily expended to overcome air resistance, which is proportional to a cyclist's surface area (SA). Thus we hypothesized that large cyclists should have a lower O2 consumption normalized to body weight (VO2/BW) than small cyclists because of the former's lower SA/BW. We measured the VO2/BW of small (BW = 59.4 +/- 4.1 kg) and large(More)
The accuracy and reproducibility of magnetic resonance (MR) imaging in the determination of left ventricular mass in humans was investigated. Left ventricular wall volume was measured from ten short-axis, end-diastolic MR images that spanned the left ventricle. Mass was estimated on the basis of average left ventricular wall volume and an assumed myocardial(More)
Although many studies of the effect of dynamic exercise training on left ventricular (LV) mass have been reported, controversy continues to exist. Previous work has been criticized because of the techniques used for measuring LV mass, the variable level of training of the subjects recruited and the methods used to normalize the data. In an attempt to(More)
Endothelin-1 (ET-1) is a potent vasoconstricting peptide with effect on resistance as well as capacitance vessels. We followed ET-1 in arterial plasma together with heart rate (HR), central venous pressure (CVP), mean arterial pressure (MAP), and thoracic electrical impedance (TI) in seven men during central hypovolaemia induced by 50 degrees head-up tilt.(More)
Pancreatic panniculitis represents a rare skin manifestation of underlying pancreatic pathology. The clinical presentation of the condition is remarkably consistent and privy to several unique clinical and histopathologic findings. We report a case of a 50-year-old white woman with pancreatic panniculitis and newly diagnosed pancreatic acinic cell(More)
As Network Intrusions have become larger and more pervasive the methods of detection have changed, a number of systems use ensemble methods to improve upon results from single classifiers or algorithms. The solutions proposed in the literature achieve good results, which primarily focus on classification of Network Intrusions by tailoring classification(More)
Multiple Classifier Systems are often found to improve results of intrusion detection by combining a set of classifier decisions where single classifiers may not achieve the same level of detection. However not every set of classifiers is more able, therefore selection of more capable sets is required. A misclassification is a false positive or negative(More)
Network intrusions may illicitly retrieve data/information, or prevent legitimate access. Reliable detection of network intrusions is an important problem, misclassification of an intrusion is an issue in and of itself reducing overall accuracy of detection. A variety of potential methods exist to develop an improved system to perform classification more(More)
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