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They are willing to live with a one-time mistake and grant you the courtesy of forgiveness (of course, you helped them rebalance their situation), but they will not be willing to live through the same mistake again Even a money-back guarantee will not be sufficient to get them back Often, customers do not even bother with the money-back guarantee They simply take their business elsewhere Companies must internalize the complaints and work to avoid them in the future Notifying the customer of any action taken with regard to their complaints will go a long way to ensure their.

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Computational rules are mathematical in nature and are expressed as an equation. They are similar to inference rules in that they derive their result from some other information. Computational rules derive their results by processing an algorithm, and are used to specify derived attributes or how operations behave. For example, the following computation rule can be used to calculate the total value of a Portfolio (see Figure 5.8): context Portfolio inv: value = holdings->iterate(h : Holding; result : Real = 0; result + (h.number * h.security>price));

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Steven Johnson founded an online literary magazine called Feed that unfortunately succumbed to the downturn in Web advertising. In that role, he pioneered some revolutionary improvements in collaborative Web publishing interfaces. Based on his studies and experience, he recently wrote a book titled Emergence: The Connected Lives of Ants, Brains, Cities, and Software.1 In an interview on Salon.com,2 he commented on the phenomenon of self-organizing systems that learn to take care of themselves without central control. He pointed to ant colonies as the best examples of leaderless but extremely productive organizations. They look like they should be planned from above, but in fact they are entirely organized by local rules and local interactions. The catchphrase is that the whole is sometimes smarter than the sum of its parts. This, we believe, should be the strategic goal of the modern organization.

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Competitive research is a great way to put your efforts into context, but it s not a substitute for innovation. You ll never become the best by copying others. Use competitive research as a way to set smarter goals and evaluate your performance, but don t become too complacent if you have a big lead or too disheartened if it looks like you re behind.

% Haupt & Haupt % 2003 function f=gadecode(chrom,lo,hi,bits) [M,N]=size(chrom); npar=N/bits; % quant=(0.5.^[1:bits] ); % quant=quant/sum(quant); % normalized ct=reshape(chrom ,bits,npar*M) ;% % par=((ct*quant)*(hi-lo)+lo); % % f=reshape(par,npar,M) ; %

Some members of the MFC structure LV_ITEM Description A flag for specifying which member in the structure provides the information A flag for the style of the text alignment A flag to specify which member has the information Index of the main item Index of the subitem A pointer to the item s text

105 75 85 73 75 87 77 97 75 106 120 121 98 108 96 88 67 (continued)

< xml version= 1.0 > <!DOCTYPE wml PUBLIC -//WAPFORUM//DTD WML 1.1//EN http://www.wapforum.org/DTD/wml.dtd > <wml> <card id= main title= First Card > <p mode= wrap >This is a WML page including only this sentence.</p> </card> </wml>

processing and sentence imitation skills, and borderline to low-average rapid verbal naming ability when asked to provide items belonging to a speci c category. Walter s performance on measures of verbal comprehension was highly variable with more dif culty noted when he was confronted with multipart directions. Visual-spatial perception is found to be well within the average range; however, Walter s performance on visual-motor/constructional tasks was de cient and consistent with his performance on the DAS II. Fine motor tapping speed is found to be bilaterally depressed as measured by the Finger Tapping test. Analysis of Walter s performance on the Children s Memory Scale (CMS) indicates that, at the present time, he is exhibiting de cient to borderline ability to hold material in immediate auditory working memory contrasted by borderline to low-average visual working memory. When asked to learn and remember (30 minutes later) newly presented material, Walter demonstrated average ability to recall stories that were read to him as well as average ability to recall the spatial location of an array of dots presented over three structured learning trials once he mastered the placements. It should be noted that due to poor task comprehension, Walter was unable to perform in a valid manner on the Word Pairs and Faces subtests.

This consists of breaking down an unbalanced three-phase system into the sum of three balanced three-phase systems: positive-sequence, negative-sequence and zero-sequence (see Figure 4-9).

(3.14b)