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This data model will allow a great deal of flexibility to define required features that help determine the product or as optional features that could be available for the product Table 33 shows examples of possible products and different types of features Notice that the product name may describe many of the features of a product so that it may be ordered by name, while the feature allows products to be correctly defined and categorized and allows for customization of the product without necessarily having to store a product for each product variation The details behind the product are stored in PRODUCT FEATURE APPLICABILITY entity and are shown in this table to clarify the definition of the product There are other possible types of features of products, many of which are dependent on the enterprise's type of business Shoe manufacturers may be.

typedef struct _IMAGE_SYMBOL { union { BYTE ShortName[8]; struct { DWORD Short; // If 0, use LongName. DWORD Long; // Offset into string table. / Name: PBYTE LongName[2]; } N: DWORD Value; SHORT SectionNumber; WORD Type; BYTE StorageClass; BYTE NumberOfAuxSymbols; } IMAGE SYMBOL; typedef IMAGE_SYMBOL UNALIGNED *PIMAGE_SYMBOL;

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Aesthetic Checks for Use Case Diagrams 1. Are there suf cient use cases to cover all requirements (Are all requirements covered by the use cases These will be functional.) Are there suf cient actors to cover all users of the system Are there suf cient actors to cover all other remaining external entities to the system Is there a time actor to represent use cases initiated by time Check how many use cases and actors appear on each diagram and ensure that they adhere to the classic span of control principle of management. Check that the ratio of actors to use cases on one diagram is approximately 1:3. Ensure that the use case documentation is not too long and unwieldy. If an iterative process is being followed, start considering the completeness and correctness of the diagrams during the second iteration.

bone In low energy states, such as with hypothalamic amenorrhea, estrogen levels fall, and in turn, it has been thought that bone formation suffers Indeed, the evidence that women with hypothalamic amenorrhea have diminished estrogen levels and bone mineral density Because of the association between postmenopausal estrogen diminution, its replenishment, and subsequent bone mineral density, it has been widely postulated that the loss of bone mineral density associated with hypothalamic amenorrhea is caused by low estrogen levels in these women energy de ciency It has been noted that the overall hormonal status of amenorrheic female athletes is very similar to that found in patients with anorexia nervosa These hormonal abnormalities include elevated cortisol levels, growth hormone resistance, and suppressed serum T3 levels, which are all associated with compromised bone mineral density.

f you want, you can let investing become a full-time job in itself: checking the stock market obsessively, constantly monitoring your investments online, reading every last research report your brokerage rm sends you. But for most of us, one full-time job is quite enough, thank you. We d just as soon devote a small portion of our portfolios to individual stocks and let mutual funds handle the bulk of the work. In this chapter we ll introduce you to 31 truly top-notch mutual funds you can drop right into the asset allocation you worked out in 4 large-cap, small-cap, international, and bond funds, and some domestic hybrids (funds that invest in both stocks and bonds). How did we settle on this bunch of funds Through a combination of careful research and one-on-one interviews. First, with the help of mutual fund database company Morningstar, we went looking for consistency. We wanted funds that had outpaced the market and the average funds in their peer groups for the past ve-, three-, and one-year periods (ending in December 2001). To get at those funds, we applied what s known as a screen that allowed us to eliminate all but the most consistent performers. On top of that, we analyzed each fund based on two key characteristics growth and volatility. For the rst, we compared each portfolio against its peers, dividing them into four broad groups: domestic equity,

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