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If a goal cannot be decomposed, and if it cannot be allocated to a business process, resource, or rule, the business goals should be eliminated By composing goals, they are also questioned (by asking why) which is a kind of validation; however, the overall goal cannot be composed further and is also difficult to validate The best way to validate the overall goal is to compare it with the business idea When decomposing goals, contradictory goals may appear The goals of high-quality production, rapid production, and low-cost production can all be a decomposition of the same goal high rate of return but they are all contradictory If production is rapid, it is hard to make it low-cost as well because the machinery necessary to reach high speeds is probably expensive Rapid production is also contradictory to high-quality production, because achieving high quality demands more time.

High-quality production also requires more sophisticated machinery and staff, which means that it, too, is contradictory to low-cost production since more sophisticated machinery and staff also mean increased expenses The Business Goal-Problem pattern provides guidelines for handling this type of problem Example A concrete goal hierarchy from the Internet company Internet Business, Inc is shown in Figure 85 The overall goal is to attract many customers (Goal A) The desired goal value has been set to 500,000 customers This goal has been broken down into three quantitative subgoals (corresponding to SubGoal A and B in Figure 84) that also describe the different customer categories: Many Internet visitors Internet visitors whose names are unknown Many registered customers Customers who have registered their names and addresses..

1.3.3 Grating Lobes A phased array may have several radiating lobes of peak intensities comparable with that of the desired beam. Such undesired radiating lobes are known as grating lobes. The grating lobes should not be confused with the side lobes. Usually, a side lobe has much lower peak intensity than that of a grating lobe. For quantitative

Most likely, each person will have a highly personal interpretation of these abstract concepts. When we conduct this exercise, we hear a wide variety of personal views equating excellence to climbing Mount Everest, a sunset, a Mexican beach, a child s smile, or a new Tiffany diamond necklace. When asked about the lemon, everyone produced the same description the same color and the same shape.

Some veterans of the activity believe that online communities are good for extending conversations but bad for resolving them. Because in most cases the conversations happen without moderation or facilitation, they are subject to an effect that could be called the last word obsession. Everyone wants to get in the last word, and if the conversation has been left open to additional posts, the issue being discussed may never be settled. The cure for this is to include a moderator or facilitator in any discussion that must be resolved or in any community that

Low birth weight (LBW) typically is de ned as birth weight less than 2,500 grams, or less than 5 pounds 8 ounces. Very low birth weight (VLBW) is de ned as birth weight less than 1,500 grams, or less than 3 pounds 5 ounces (Taylor, Klein, & Hack, 2000), and extremely low birth weight (ELBW) is de ned as birth weight less than 1,000 grams, or less than 2 pounds 3 ounces (G. P. Aylward, 2002; Saigal et al., 2006). The majority of infants with LBW are considered to have moderate LBW, or birth weight between 1,500 and 2,499 grams (J. A. Martin et al., 2005). With advances in medical technology and care, many more infants with all categories of LBW survive than was the case in the early 1900s, although mortality rates remain high for infants weighing less than 600 grams at birth (Lemons et al., 2001; Taylor, Klein, & Hack 2000). Many infants with LBW continue to show de cits in multiple areas of development into childhood, adolescence, and young adulthood (Saigal et al., 2006). As survival rates have increased, so has our understanding of the developmental outcomes associated with LBW.

The key challenges to the Network Context generation and maintenance are (i) to construct a distributed global Network Context dynamically with limited communication support and (ii) to converge quickly The amount of inter-node communication required can be limited by noting that a message is valuable to the extent that it changes the recipient s beliefs to re ect information available only to the sender Ordering change messages and sending highest impact messages rst helps conserve bandwidth Paskin and Guestrin [2004] describes a distributed architecture for solving these problems that is robust to unreliable communication and node failures in which session members assemble themselves into a junction tree and exchange messages to solve the inference problem ef ciently and exactly A key part of this is an ef cient distributed algorithm for optimizing the choice of junction tree to minimize the required communication and computation 6633.