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Output was five time series of integrated edge intensity, one total and four directional.
The mean ratio in integrated edge intensity between loaded and unloaded ROIs was 2.87 (max 7.04, SD. 1.80) for total edge intensity images and 2.30 (max 3.05, SD. 0.64) for directional edge intensity images.
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As a first step, we propose to integrate edge weights, which could, for example, be derived from correlation of gene expression as used by Guo et al. (2007) or from P-values of interaction predictions with STRING (von Mering et al., 2007).
The tool is also deeply integrated with Edge Inspect for real-time previews, so designers can quickly see their new creations directly in the browser.
Besides numerous smaller feature additions, this new version adds a tool called "Adobe Generator" that is, among other things, deeply integrated with Edge Reflow, the company's tools for creating responsive web designs.
To decide whether a perturbation of k induces a significant effect on node i (and is thus integrated as edge k → i in the perturbation graph) one can either use correlation analysis of the entire data or only direct variation measures quantifying the change of x i when perturbing x k.
However, a number of opportunities for conservation exist, including augmenting botanical diversity, rotational cutting regimes and integrated field-edge management.
d Growth-time dependence of Mn PL QYs and integrated band-edge PL areas for NCs after surface exchange/passivation. Spectra in a and c are offset for clarity.
The layout of the electrode patterns was generally similar to our earlier work, with a user-friendly interface that integrated an edge-board connector and a mini-USB port to provide simplified connection and accessibility.
Malcolm (1994) has recently addressed these problems by considering an alternative approach that formally integrates the edge effect of every point along a patch border ('point edge effect'), to generate edge effect fields.
His approach integrates cutting edge template-based methods and empirical score based methods using various machine learning techniques including Bayesian network methods to analyze large collections of biological data and elucidate interaction specificities among the molecules.
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