Time spent at home poststroke: “home-time” a meaningful and robust outcome measure for stroke trials

<p><b>Background and Purpose:</b> Stroke outcome assessment requires some measure of functional recovery. Several instruments are in common use but all have recognized limitations. We examined duration of stay in the patient’s own home over the first 90 days since stroke—"home-time"—as an alternative outcome likely to show graded response with improved reliability.</p> <p><b>Methods:</b> We examined prospectively collected data from the GAIN International trial using analysis of variance with Bonferroni contrasts of adjacent modified Rankin scale score categories.</p> <p><b>Results:</b> We had full outcome data from 1717 of 1788 patients. Increasing home-time was associated with improved modified Rankin scale scores (P<0.0001). The relationship held across all modified Rankin scale grades except 4 to 5.</p> <p><b>Conclusions:</b> Home-time offers a robust, useful, and easily validated outcome measure for stroke, particularly across better recovery levels.</p&gt

Finite-Amplitude Instability of the Compressible Laminar Wake. Strongly Amplified Disturbances

The interaction between mean flow and finite‐amplitude disturbances in certain experimentally observed unstable, compressible laminar wakes is considered theoretically without explicitly assuming small amplification rates. Boundary‐layer form of the two‐dimensional mean‐flow momentum, kinetic energy and thermal energy equations and the time‐averaged kinetic energy equation of spatially growing disturbances are recast into their respective von Kármán integral form which show the over‐all physical coupling. The Reynolds shear stresses couple the mean flow and disturbance kinetic energies through the conversion mechanism familiar in low‐speed flows. Both the mean flow and disturbance kinetic energies are coupled to the mean‐flow thermal energy through their respective viscous dissipation. The work done by the disturbance pressure gradients gives rise to an additional coupling between the disturbance kinetic energy and the mean‐flow thermal energy. The compressibility transformation suggested by work on turbulent shear flows is not applicable to this problem because of the accompanying ad hoc assumptions about the disturbance behavior. The disturbances of a discrete frequency which corresponds to the most unstable fundamental component, are first evaluated locally. Subsequent mean‐flow and disturbance profile‐shape assumptions are made in terms of a mean‐flow‐density Howarth variable. The compressibility transformation, which cannot convert this problem into a form identical to the low‐speed problem of Ko, Kubota, and Lees because of the compressible disturbance quantities, nevertheless, yields a much simplified description of the mean flow

A high performance k-NN approach using binary neural networks

This paper evaluates a novel k-nearest neighbour (k-NN) classifier built from binary neural networks. The binary neural approach uses robust encoding to map standard ordinal, categorical and numeric data sets onto a binary neural network. The binary neural network uses high speed pattern matching to recall a candidate set of matching records, which are then processed by a conventional k-NN approach to determine the k-best matches. We compare various configurations of the binary approach to a conventional approach for memory overheads, training speed, retrieval speed and retrieval accuracy. We demonstrate the superior performance with respect to speed and memory requirements of the binary approach compared to the standard approach and we pinpoint the optimal configurations. (C) 2003 Elsevier Ltd. All rights reserved