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New online tools make it much easier for advocates to respond. Online response forms on Web sites recognize returning advocates, pre-fill their information, and map legislative targets to individuals based on their ZIP codes. These forms allow constituents to personalize the messages they send (see Exhibit 10.2), and can automate delivery of messages via e-mail or fax. A technique utilized by some groups to increase response rates (make it even easier for constituents to respond) is enabling response directly from e-mails. All the recipient needs to do is hit reply. The conservation group, the National Trust for Historic Preservation, has used this technique. An organization also can increase response rates by targeting issues according to a constituent s interests or profile. Many advocacy groups have yielded higher, more consistent response rates through targeting messages by geography (e.g., sending messages about Texas issues and/or campaigns to people living in Texas). For example, the advocacy group Mothers Against Drunk Driving ran a split-cell test, sending a generic e-mail appeal to one sample of constituents and a personalized appeal to another segment. The personalized appeal told people the specific grade their state achieved for drunk driving regulation effectiveness (see Exhibit 10.3). The personalized message achieved a 155 percent higher response rate than the generic message.

between project risk assessments. The heading Reference documents in Figure 2.2 refers to the key project documents that were used as inputs to the context stage. Sometimes more detail is needed and it is useful to expand the criterion definitions and methods of measuring their achievement. In this case a list like that in Figure 2.3 may be appropriate (and see also Table 2.6).

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Mondriaan [40] (where it is called inner-product matching). Pairs of vertices are matched using a greedy rst-choice method. An agglomerative matching strategy [7] that produces higher quality decompositions with little additional execution cost is also implemented but not used in this paper. Parallel matching is performed in rounds. In each round, each processor broadcasts a subset of candidate vertices that will be matched in that round. Then, all processors concurrently compute their best match for those candidates and global best match for each candidate is selected. Readers may refer to Ref. [12] for more details, including implementation for two-dimensional data layouts. For xed vertex partitioning, we constrain matching to propagate xed vertex constraints to coarser hypergraphs so that coarser hypergraphs truly approximate the ner hypergraphs and their constraints. We do not allow vertices to match if they are xed to different parts. Thus, there are three scenarios in which two vertices match: (1) both vertices are xed to the same part, (2) only one of the vertices is xed to a part, or (3) both are not xed to any parts (i.e., both are free vertices). In cases 1 and 2, the resulting coarse vertex is xed to the part in which either of its constituent vertices was xed. In case 3, the resulting coarse vertex remains free.

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GLUT-4

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