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Michael Alley, author of The Craft of Scienti c Presentations: Critical Steps to Succeed and Critical Errors to Avoid (Springer, 2005), conducted a study using two d PowerPoint presentations, each with a different headline format. One presentation included only sentence fragments at the top of each slide, and the second presentation included a complete sentence at the top that summarized the most important point of the slide. In tests to measure the knowledge and comprehension of the information in the presentations, the audiences who experienced the slides with the complete sentence headlines saw an average improvement in test scores of 11 percentage points over the audiences who saw the slides with the sentence fragments. When you use the title area of the slide to summarize your point for your audience, you properly guide their attention, and in the process you ease the burden on their working memory to gure out your point. birt data matrix Java Data Matrix Barcode Generator - BarcodeLib.com
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c# qr code reader pdf Barcode for Eclipse BIRT which is designed to created 1D and 2D barcodes in Eclipse ... Barcode for Eclipse BIRT helps users generate standard Data Matrix ... java barcode scanner example code Cumulative aggregations accumulate data from the first element within the sequence up to the current point. For example, imagine the following request: for each employee and month, return the total quantity and average monthly quantity from the beginning of the employee's activity to the month in question. Recall the preSQL Server 2005 set-based techniques for calculating row numbers; using these techniques, you scan the same rows we need to scan now to calculate the total quantities. The difference is that for row numbers you used the aggregate COUNT, and here you're asked for the SUM and the AVG. I demonstrated two solutions to calculate row numbersone using subqueries and one using joins. In the solution using joins, I applied what I called an expand-collapse technique. To me, the subquery solution is much more intuitive than the join solution, with its artificial expandcollapse technique. So, when there's no performance difference, I'd rather use subqueries. Typically, you won't see a performance difference when only one aggregate is involved, as the plans would be similar. However, when you request multiple aggregates, the subquery solution might result in a plan that scans the data separately for each aggregate. Compare this to the plan for the join solution, which typically calculates all aggregates during a single scan of the source data. So my choice is usually simpleuse a subquery for one aggregate, and a join for multiple aggregates. The following query applies the expand-collapse approach to produce the desired result, which is shown in abbreviated form in Table 6-4: SELECT O1.empid, CONVERT(VARCHAR(7), O1.ordmonth, 121) AS ordmonth, O1.qty AS qtythismonth, SUM(O2.qty) AS totalqty, CAST(AVG(1.*O2.qty) AS DECIMAL(12, 2)) AS avgqty FROM dbo.EmpOrders AS O1 JOIN dbo.EmpOrders AS O2 ON O2.empid = O1.empid AND O2.ordmonth <= O1.ordmonth GROUP BY O1.empid, O1.ordmonth, O1.qty ORDER BY O1.empid, O1.ordmonth; birt data matrix Eclipse Birt Barcode Component - J4L Components
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