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For this reason, ag (indicator) variables were constructed for spending last one month, as well as the following variables: r Spending at the AM store (one of the four franchises), to indicate which customers spent money at this particular store r Spending at the PS store r r r r r r Spending at the CC store Spending at the AX store Spending in the last three months Spending in the last six months Spending in the same period last year (SPLY) Returns, to indicate which customers have ever returned merchandise.

Reagents and Materials Phosphate-buffered saline (PBS) Calipers Disk punch, 9.6 mm Compression test instrument (a) (b) (c) Removing the cultured tissue from the insert, as previously described (See Protocol 7.6, Step (j)). Measure the thickness of the tissue disk in several locations, and take the average to determine the thickness for mechanical testing. Measure compressive strength: i) Punch out a disk that is 9.6 mm in diameter. ii) Place the disk into a radially con ning well of the mechanical test instrument, lled with PBS, and apply to the top a uid-saturated porous compression platen. iii) Apply compressive displacements to 15%, 30%, and then 45% amplitude, at a strain rate of 0.02%/s. After each compression, allow stress-relaxation to occur until equilibrium is reached (typically 30 min for a 1-mm-thick sample of engineered cartilage tissue). Record the equilibrium loads. iv) Fit the load-displacement data to determine the compressive modulus extrapolated to the free-swelling state, HA0 [Kwan et al., 1990; Chen et al., 2001; Williamson et al., 2001]. Measure tensile properties i) After removing the cultured tissue from the insert, as described previously (See Protocol 7.6, Step (j)), measure the thickness of the tissue disk in several locations near the center, and take the average to determine the thickness for mechanical testing. ii) From the disk, punch out a tapered specimen, using a custom punch. iii) Place the specimen into the clamps of a mechanical test instrument, separated by 5 mm, with PBS recirculating over the sample. Limit the clamps so that the tissue is compressed by 30 50%, to enable secure gripping while not tearing the sample.

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Should the users of the integrated schema be able to not only query but also modify the underlying data in the source systems Therefore, a DDBE has to overcome three types of challenges schema integration, data access, and software integration/interface issues. We group schema integration and data access under information integration challenges and discuss software interface issues under software integration challenges. Since software and information integration pose a lot of challenges for the developers of a DDBE, the right level of integration that ts the users requirements must be chosen. There are many levels (or degrees) of integration for existing database applications. These range from a nonintegrated system, to a fully integrated system, and systems that are in between. Degrees of Integration

the controls and facilities for these operations are not as simple, ef cient, or powerful as other alternatives. In other words, if our goal is to deploy a DDBE with a high volume of data modi cation or a high volume of schema modi cation operations, then a different architecture would probably be a better solution. In summary, the COOP DBE is typically a completely distributed, mostly open (or perhaps completely open), partially visible, partially controlled DBE. It works best for mostly read-only environments where the goal is to support dynamic, ad hoc providers of (mostly) read-only content whose structure does not need to be changed dynamically within the environment. This architecture is well suited for supplying multiple deployment plans for the same data and dynamically changing those deployment details. In the next sections, we will brie y describe each of the subsystems in the environment. After that, we will examine the interactions between the subsystem instances in this deployment example.

personality testing seeks to obtain more detailed, complex, and comprehensive data than available from checklists and inventories.

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