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This chapter is designed as a summary, highlighting some of the key ideas and themes from the previous chapters and explaining h o w they can be implemented t o drive profits for the online business. Focusing on strategies and leading-edge techniques to boost profits is fine, but the great advantages of the Internet are its ease and immediacy. Grand designs can deliver grand results, but more than ever, quick and easy techniques can deliver results out of all proportion t o the effort required, and they can often be implemented five times a day if needed! As the preceding chapters have demonstrated, there are many issues to consider when building a profitable online business. This chapter provides ideas and practical examples t o boost profits today, and focuses on three issues that are decisive t o achieving business success (as they have always been). They are:

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Then we can employ the blind equalization approach discussed in 9 for double nite FIR lter to remove distortion caused by ltering or convolution of the signals. It should be noted that the two-stage approach enables us also to recover the source signals mixed by a non-minimum phase dynamical system [1367].

Type of Analytical Procedure Characteristics Accuracy Precision Repeatability Intermediate precision Speci cityb Detection limit Quantitation limit Linearity Range

FIGURE 10.2. Hartmann test perspective schematics showing the Hartmann screen over a mirror to be tested.

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n Process DSC comments. Document structuring comments (DSC) contain information about a PDF file. Items such as originating application, creation date, modification date, page orientation, and so on, are all document-structuring comments. To maintain the DSC, enable this option. Because some important information such as page orientation and beginning and ending statements for the prologue.ps file are part of the document structure, you ll want to keep this item enabled as a default.

FIGURE 4.16 Measured E-plane (x z plane) and H -plane (y z plane) radiation patterns for the antenna studied in Figure 4.14 with = 100 . (a) f 1 = 1584 MHz, (b) f 2 = 2051 MHz. (From Ref. 12, C 1999 IEE, reprinted with permission.)

Figure 14.8 shows a mixed plastic bottle sorting line that employs a combination of near-infrared, visible, and X-ray methods to separate PET, HDPE, and PVC bottles. Throughputs above 1500 pounds per hour per line are possible and sorting accuracy and yields are excellent. In bottle sorting, achieving a singulated

fraction of the full factorial design is tested at intermediate points in time If the full long-term stability data required for the proposed shelf life will not be available for review before submission to the regulatory agency, the full factorial design should be tested at 12 months and at the last scheduled point in time prior to submission Therefore, the FDA regulations require testing full factorial design at 0, 12, and 36 months for a matrixing design In addition, data from at least three time points, including initial, should be available for each factor combination through the rst 12 months of the study For matrixing at accelerated storage conditions, testing should occur at a minimum of three time points, including initial and nal, for each factor combination.

The matrixing design should be as balanced as possible so that each factor combination is tested to the same extent over the duration of the study A matrixing design is applicable when the supporting data indicate predictable product stability and small variability A statistical justi cation for using a matrixing design could be based on evaluating the proposed matrixing design with respect to its power to detect differences in the degradation rates among the factors or the level of accuracy on estimating the shelf life A matrixing design performed across factors other than time points generally has less precision in shelf-life estimation and yields a shorter shelf life than the corresponding full design due to the confounding and aliasing effects [10] Matrixing design may have insuf cient power to detect main factors or factor interaction effects.

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