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The syndrome vector components are s1 = r ( ) = + = 0 s2 = r ( 2 ) = 3 + 5 = 6 s3 = r ( 3 ) = 5 + 2 = 4 s4 = r ( 4 ) = 1 + 6 = 4 The syndrome polynomial is then S(X ) = 6 X + 4 X 2 + 4 X 3 The Euclidean algorithm is applied using Table 5.2. If the degree of the polynomial in the column ri (X ) is less than the degree of the polynomial in the column ti (X ), then the recursion is halted. It also happens that 4 X is a factor of 3 X 2 + 2 X . Then W1 (X ) = 4 X 1 (X ) = 4 X 2 + 3 X + 5 The polynomial so obtained, 1 (X ), is multiplied by an element of the Galois eld GF(23 ) in order to convert it into a monic polynomial. This value of is = 3 . Then W (X ) = W1 (X ) = 3 4 X = X and (X ) = 1 (X ) = 3 4 X 2 + 3 X + 5 = X 2 + 6 X + The Chien search [5] (as described in 4) is then used to determine the roots of this error-location polynomial. These roots are found to be 3 and 5 . Therefore, 3 = j1 = 4 j1 = 4 and 5 = j2 = 2 j2 = 2

Ratios are used to help a business entity evaluate financial and economic results of profit-oriented operations over a given accounting period. A ratio standing alone is simply a number and appears to have little value, in that the ratio does not directly show favorable or unfavorable results. For example, a restaurant s food inventory turnover of four times per month may appear good, but until the turnover ratio is compared with some standard, such as the average turnover ratio in the restaurant industry for that type of restaurant, its true value cannot be determined. For a ratio to have meaning, it must be comparable to a standard or an established base ratio. A standard ratio could be an industry average, but such a standard ratio may be the least valuable. Industry standards are generally developed through information received from hospitality organizations having the same type of activities; however, such establishments may be spread over a large geographic area. Different operating conditions prevail in different locations within the geographical area (e.g., average family income, salaries, hourly pay rates, and cost of living levels, and disposable income). As a result of such economic variances across a geographical area, there may not be one operation that is just like the average operation from which the standard ratios are determined. Industry averages are good for telling a manager if the operation is in the ballpark with the industry but should not be used as the operation s standard.

i = 1, 2, . . . .

The emitter transit time is a function of the emitter base capacitance, base collector capacitance, and transconductance. The base transit time is a function of the base width, and diffusion coef cient and base grading factor, K. The collector terms consists of the collector capacitance, collector resistance, and velocity saturation term. Minimizing the collector base capacitance, Ccb, collector substrate, Ccsx, and base resistance, Rb improves fMAX. fMAX r fT 8pRb Cbc

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As you know, Excel has many worksheet functions that you can use in formulas. Chances are, you ve needed a particular function, only to find that it doesn t exist. The solution Create your own, using VBA. Custom worksheet functions can often simplify your formulas and make your spreadsheet easier to maintain.

Further experimentation on the same animal soon indicated, to our surprise, that its response to the stimulus was more than curiosity On the second day, after the animal had acquired the habit of returning.

Following are descriptions of individuals who score highly on the various measures of normal personality styles and dimensions.

performance) in one location or organization and be completely invalid (ie, have zero validity) in another This belief was based on the observation that observed validity coef cients for similar tests and jobs varied substantially across different studies In some such studies there was a statistically signi cant relationship, and in others there was no signi cant relationship which, as noted earlier, was falsely taken to indicate no relationship at all This puzzling variability of ndings was explained by postulating that jobs that appeared to be the same actually differed in important but subtle (and undetectable) ways in what was required to perform them This belief led to a requirement for local or situational validity studies.