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The emphasis of this book on detoxification is to prevent diseases like cancer. But that doesn t mean we scrap a detoxification strategy if cancer is diagnosed. In fact, once the stage of cancer formation is identified, it is possible, and necessary, to develop a customized intervention strategy with the appropriate protective compounds. The chart on page 129 depicts the various stages of the development of cancer and strategies that have been found to be effective in each stage. The formulation of essential fats is also very important in cancer prevention. The sulfur compounds from cruciferous vegetables and garlic, the flavonoid compounds from fruits and vegetables, the terpenoids and curcuminoids from spices, chlorophyllin from green vegetables, and D-glucarate from fruits and vegetables are particularly potent inhibitors of the tumor initiation stage because they enhance Phase I and Phase II detoxification and DNA repair. In terms of tumor promotion and progression, the antioxidants from fruits and vegetables and critical cellular antioxidants plus essential fats and immune enhancement compounds are very effective because of inhibiting free radicals, inflammation, and cell proliferation, as well as stimulating immune function and cancer cell death. These compounds listed in the Breakthrough Supplements for Cancer table on page 130 are potent inhibitors of the induction of cancer because they stimulate detoxification function. They show promise as agents for the treatment of cancer progression. Many studies have found that they inhibit the proliferation of cancer cells, stimulate apoptosis or cell death, stimulate normal differentiation in cancer cells, counteract the growth of blood vessels to tumors (antiangiogenesis),

and online; point-of-sale materials at branches; outbound telemarketing; and personal contact by branch personnel The Canadian consumer marketplace for nancial products was highly competitive Aggressive marketing by single-product monolines, particularly credit cards, had increased the amount of near-junk mail that consumers were receiving Capturing and increasing the scope of business from existing customers (rather than trying to acquire new customers) was the goal of the new program The objectives of the new program were to: Increase bookings and pro ts from database marketing campaigns Reduce the cost of campaign creation and mailings, and increase response rates Automate multisegment and multichannel campaigns, while having the exibility to implement rapid changes in design and targeting Enable the database marketing group to manage entire closedloop campaigns, including tests and controls and measurement of results Make effective use of the bank s data warehouse.

Conversely, in trades that are languishing, or when the market is exhibiting blow-off behavior, the profit target could be made to move in tight to close out the trade, and to do so at the best possible price, before the market has a chance to reverse Modifications of the profit target limit order placement are studied below Finally, the time limit exit from the MSES model is adjusted and tested on the assumption that, with effective dynamic stops and profit targets, a short time limit is no longer so necessary Trades will be exited quickly by other means if.

they are languishing, but will be held for as long as possible if favorable movement is occurring. The intention is to let profits develop and not be cut short simply because of an order to exit on an arbitrary time limit.

Bundle relevant offers in a single but varying package, reducing clutter for the customer and thus becoming more customer-focused The bank began the Life Matters campaign with a test of 50,000 customers to prove the concept Response rates of 25 percent led to acceptance of the idea As a result, several additional bank business lines asked to be included in the second wave The second wave was aimed at an additional 565,000 bank customers, divided into 60 test and control cells The mailings were done in two drops to take call center capability into consideration The third wave reached over 800,000 customers, divided into 750 cells The fourth wave was also aimed at 800,000 customers, but they were divided into only 270 cells.

At the very least, you should have available an optimizer that is designed to make both brute force and user-guided optimization easy to carry out. Such an optimizer is already at hand if you use either TradeStation or Excalibur for system development tasks. On the other hand, if you develop your systems in Excel, Visual Basic, C+ +, or Delphi, you will have to create your own brute force optimizer. As demonstrated earlier, a brute force optimizer is simple to implement. For many problems, brute force or user-guided optimization is the best approach. If your system development efforts require something beyond brute force, a genetic optimizer is a great second choice. Armed with both brute force and genetic optimizers, you will be able to solve virtually any problem imaginable. In our own efforts, we hardly ever reach for any other kind of optimization tool! TradeStation users will probably want TS-Evolve from Ruggiero Associates. The

This last wave included more sophisticated modeling that integrated each individual customer s propensity to purchase each of the products or services being offered within the package and the expected pro tability of each new sale to the bank To illustrate the technique, in the Life Matters 2 campaign, the offers were the following:.

Evolver product from Palisade Corporation is a good choice for Excel and Visual Basic users. If you develop systems in C+ + or Delphi, select the C+ + Genetic Optimizer from Scientific Consultant Services, Inc. A genetic optimizer is the Swiss Army knife of the optimizer world: Even problems more efficiently solved using such other techniques as analytic optimization will yield, albeit more slowly, to a good genetic optimizer. Finally, if you want to explore analytic optimization or simulated annealing, we suggest Numerical Recipes in C (Press et al., 1992) and Masters (1995) as good sources of both information and code. Excel users can try out the built-in Solver tool.