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Note: Instead of mulato chile peppers, you may use ancho or pasilla chiles or a mixture of different kinds. If none of these is available, you may substitute about 1 cup (125 g) chili powder.
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In Fig. 6.10 we compare five approximations introduced above with the results obtained from discrete-event simulation (DES). From the figure we see that for p = 0.7 all approximations are good for ci < 2, and that for higher values of ci the approximation due to Cosmetatos is very good and the others are fair.
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See Figure 34.3. Roll out puff pastry dough to 1 8 inch (3 mm) thick. Cut the dough into 4-inch (10-cm) squares. Wash the edges of each with water. Portion the desired lling into the center of each square. Fold diagonally and press the edges together. Puncture the tops with a knife in two or three places to allow steam to escape. Let rest 30 minutes. Brush the tops with egg wash, if desired, or brush with milk or water and sprinkle with sugar. Bake at 400 F (200 C) until crisp and brown.
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which you can stick under a table when visiting the target. Battery life is the main constraint on these devices. They typically have a range of only a few hundred yards, and a lifetime of a few days or weeks.
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Once you have identi ed your customers and the information you have about them, your next step, say Peppers and Rogers, is to differentiate them by their value to your company. The key point our CRM gurus are making in this step is that when it comes to their contribution to your company s long-term profitability, all customers are not created equal. Sure, your CRM goal is to retain customers, but not just any customers. You want to retain your most valuable customers. But how do you determine which customers are most valuable One of the best explanations of this aspect of CRM can be found in the book The Customer Marketing Method by Jay Curry and Adam Curry. Curry says that the best way to start understanding how customers vary in their impact on your revenue and pro ts is to construct a customer pyramid like that shown in Figure 4.1.
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Marchand de Vin (Wine Merchant) 175 Robert 175 Charcuti re 175 Chasseur 175 Diable (Deviled) 175 Madeira 175 Perigueux 175 Po vrade 175 Port Wine 175 Italian Sauce 175 Mushroom 175 Bercy 175 Piquante 175 Lyonnaise 175 Bigarade 175 Tomato Sauce I 176 Tomato Sauce II (Vegetarian) 176 Tomato Sauce III 176 Small Sauces 176 Portugaise (Portuguese) 176 Spanish 176 Creole 176 V Fresh Tomato Coulis with Garlic 177 V Ma tre d Hotel Butter 179 Anchovy Butter 179 Garlic Butter 179 Escargot (Snail) Butter 179 Shrimp Butter 179 Mustard Butter 179 Herb Butter 179 Scallion or Shallot Butter 179 Curry Butter 179 V Beurre Blanc 180 Herbed Butter Sauce 180 Beurre Rouge (Red Butter Sauce) 180 Red Wine Butter Sauce for Fish 180 V Hollandaise Sauce I 182 V Hollandaise Sauce II 182 V Small Sauces 183 Maltaise 183 Mousseline 183 V B arnaise Sauce 183 Small Sauces 183 Foyot 183 Choron 183 V Mushroom Jus 188
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I have spent a good chunk of my working career down in the trenches with the technical staff. In other words, I am a geek. I have been an individual contributor, a team leader, an engineering manager of a large bicoastal group, a director of information architecture, and the chair of the software development architecture team for a large computer manufacturer whose software is used by millions of people around the world. In my experience, a radical overhaul of practices and policies, not to mention of systems architecture, such as Adam lays out in The Next Leap in Productivity is bound to fail unless the technical staff buys into it. So the question is this: Will your technical staff buy into the program described in this book My answer is an unequivocal yes. They will buy in because it will make their jobs more satisfying and their resumes stronger. They will buy in because Adam s program
The Normalize Spline modifier adds new points to the spline. These points are spaced regularly based on the Segment Length value. This provides a quick way to optimize a spline. Figure 14-35 shows a simple flower shape with the Spline Select modifier applied so you can see the vertices. The Normalize Spline modifier was then applied with Segment Length values of 1, 5, 10, and 15. Notice that the shape is changing with fewer vertices.
p2 = 0.358,
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