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log workbook open.xls Demonstrates how to keep track of every workbook that is opened by storing information in a text file. onkey demo.xls selection change.xls track changes in comment.xls validate entry1.xls validate entry2.xls Demonstrates the use of the OnKey method to remap keyboard keys. Demonstrates monitoring the worksheet selection change event to highlight the active row and column. Demonstrates a procedure that uses comments to track changes made to cells. Demonstrates how to validate data entered into a cell; uses the EnableEvents property. Demonstrates how to validate data entered into a cell; does not use the EnableEvents property.

selection of the variables. Most reference works in the clustering area fail to offer strong advice on this issue. Only those variables that are believed to help discriminate among the clusters in the data should be included in the analysis. Far too many analyses have been conducted by including every available variable. Some users have gone to great efforts to collect just one more variable without considering its ability to help nd the underlying clustering. Instead, the bias should be not to include the variable without additional information. The dif culty in using all available data can result from the added irrelevant variables serving to mask whatever actual clustering is present in a reduced number of variables. In fact, the addition of only one or two irrelevant variables can dramatically interfere with cluster recovery. Milligan (1980) was the rst to demonstrate this effect. In this study only one or two random noise variables were added to data sets where a strong and distinct clustering was present in a reduced set of variables. Fowlkes and Mallows (1983) introduced the term masking variables, which is a good description of the effect. Results from the Milligan (1980) study are presented in Table 7.4. As can be seen in Table 7.4, cluster recovery quickly degraded with even one random noise dimension added to the core data containing distinct clustering. A second dimension continued to diminish the ability to nd the true structure in the data. The core dimensions de ned a strong clustering in the data. Clearly, there are important implications for applied analyses. The inclusion of just one irrelevant variable may serve to mask or hide the real clustering in the data. It would

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VirtualScreenSize: the terminal s virtual screen size (X Y pixels). MediaFormatSet: the terminal s supported media formats.

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The array and object access operator ([]) The dot operator (.) Logical operators, assignment operators, and pre-increment and post-increment/

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endothelial cells were aligned in the direction of blood ow [Hirai and Matsuda, 1996]. Acellular vascular constructs lined with a heparin-benzalkonium chloride complex had luminal endothelial cell coverage within 3 months in rabbits, and the endothelial cells were shown to be oriented in the direction of blood ow [Huynh et al., 1999]. A con uent, thromboresistant endothelial cell layer is an essential component of small-diameter vascular grafts. After implantation into the circulation, mechanically robust vascular grafts are more likely to fail because of thrombotic occlusion than dilation or rupture. Endothelial cells that posses antithrombotic properties including activation of protein C; expression of heparin sulfate proteoglycans; and production of nitric oxide, prostacyclin, and tissue plasminogen activator could greatly reduce graft thrombogenic potential. Hence, a successful tissue-engineered vascular graft must contain an endothelial layer that can withstand arterial shear stresses and proactively resist thrombosis.

Sub UnhideMenu() CommandBars(1).Controls( Budgeting ).Visible = True End Sub Sub HideMenu() CommandBars(1).Controls( Budgeting ).Visible = False End Sub

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