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Barker, Richard. CASE*Methodm Entity Relationship Modeling. AddisonWesley. 1989 (Note: this book focuses mostly on CASE*Method and data modeling conventions; however, it contains some useful data model constructs and ideas.) Fowler, Martin. Analysis Patterns: Reusable Object Models. Addison-Wesley. 1997. (Note: Though this book is an object-oriented patterns book, many of these patterns apply to data modeling.)

hormone [FSH]) in response to a stressful stimulus is reported (Barron et al 1985; Lehmann et al 1993b, 1998a,b, 1999a,b; Meeusen et al 2004; Urhausen et al 1995, 1998a; Wittert et al 1996) This indicates that hormonal markers are potent parameters to register disturbances of homeostasis, but until now the literature has been very diffuse because of a lack of standardization in test methods Is the brain involved Over the last few years, there has been signi cant interest in determining speci c peripheral markers for the metabolic, physiologic, and psychologic responses to exercise that have been suggested to have an association with OTS To date, relatively little attention has been placed on the role of the central nervous system in OTS (Meeusen 1999).

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(In this text you'll find the equals sign used in cases where the result is perhaps not exactly equal, but is sufficiently close for the purposes of discussion Actually 10069897 = 499999, but we'll just call it 5) Now we're ready to understand the bel It's quite simple Consider any situation where two values are being represented as a ratio For example, an 80211 AP transmits a signal with a strength of 100 milliwatts (mw) At some distance from the AP it is determined that the signal strength has decreased to a value of 1 mw The ratio of original power to measured power is 100/1 When the fractional ratio is converted to a decimal and then represented as a logarithm, the unit is a bel log (100/1) = 2 bel You may recall that log 100 = 2 That was an easy example.

Suppose that the 100-mw signal decreases to 2 mw at some distance Now the calculation requires a calculator and is as follows: The ratio is 100/2, which equals the decimal value 50 log 50 = 169897 The answer is 169897 bels It turns out that many measurements involve two values that are much closer together than 100 and 2 Consider the calculation where the 100-mw signal is decreased to 78 mw: 100/78 = 128205 log 128205 = 010790 The answer is 010790 bels Because the common unit of measurement is the decibel, the answer in bels is simply multiplied by 10 resulting in decibels 010790 bel = 10790 dB That is a complete explanation of the mathematical meaning of a decibel.

Additional entities are used to determine how certain accounting transactions are calculated. This section illustrates the means by which a common type of internal transaction, namely, depreciation, is calculated. As shown in Figure 8.5, each DEPRECIATION transaction is specifically for one and only one FDCED ASSET (described in 6). A FDCED ASSET may be depreciated using DEPRECIATION METHODS. The same depreciation method may be used to depreciate more than one fixed asset, and a fixed asset may have more than one DEPRECIATION METHOD over time because a fixed asset's depreciation method may change (although this may be regulated by agencies such as the IRS). Therefore, the FDGED ASSET DEPRECIATION

When two power levels P1 and P2 are being compared, the following formula can be applied to determine the ratio measured in dB: The ratio P1:P2 measured in dB = 10 log (P1/P2) Thus far we've examined examples where the numerator in the ratio was larger than the denominator, resulting in a quotient greater than 1 By inference we could deduce that because log 1 = 0 then log x (where x < 1) would result in a logarithm that was less than 0 a negative log And that is exactly what.

The neuroendocrine and central nervous system hypotheses, as well as the neuroimmunologic and psychometric data, indicate that OTS occurs with a major disturbance of regulative mechanisms including the brain periphery interaction The observation that other stressors in addition to exercise (eg, job, social, travel, inadequate nutrition) seem to predispose an athlete to OTS (Foster & Lehmann 1997) links OT with the psychosocial signs of the maladaptive response to intense training The works of Morgan and colleagues (Morgan et al 1987, 1988; O Connor 1997; O Connor et al 1989, 1991; Raglin & Morgan 1994) clearly indicated that psychological factors and especially mood state disturbances are effective in predicting the onset of OTS.

Table 2-4

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