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normative structure were .83, .72, .92, .88, and .70 for N, E, O, A, and C, respectively. The congruence of the nonshared environmental factors and normative structure was even higher at .96, .93, .90, .93, and .97 for N, E, O, A, and C, respectively. The interesting feature of these results is not only that phenotypic structure resembles genetic structure, but also that the structure of environmental effects is similar to the genetic structure. Plomin, DeFries, and McClearn (1990) noted that across a range of studies, the structure of genetic in uences seems to be similar to the structure of [nonshared] environmental in uences (p. 236). They added that this is surprising: Most of us would probably predict different patterns of genetic and environmental in uences (p. 236). Recently, however, it has been suggested that genetic factors are more important than are environmental in uences in shaping trait structure because the resemblance of the structure of nonshared environmental effects to the observed structure of traits may be artifactual (McCrae, Jang, Livesley, Riemann, & Angleitner, in press). Nonshared environmental effects are usually estimated as a residual term that may include systematic bias such as that introduced by implicit personality theory. Passini and Norman (1966) demonstrated this bias by asking students to rate the personalities of complete strangers. Although each rating was presumably a guess, a clear pattern to the ratings was found. Students who assumed that strangers were talkative also assumed that they were sociable and cheerful. Across a range of targets, these associations de ned an Extraversion

This personality pattern is characterized by a passively independent orientation, noted by a self-image of superior worth, often learned in response to admiring and doting parents. Providing self-rewards is highly gratifying, if the individual possesses either a real or an inflated sense of self-worth. Displaying manifest confidence, arrogance, and an exploitive egocentricity in social contexts, this self-orientation has all that is important himself or herself. The four subtypes of the narcissist include the elitists, who fancy themselves as demigods, flaunt their status, and engage in self-promotion. Other variants are the compensatory type with covert avoidant features, underlying feelings of inferiority, but public displays of superiority. Noteworthy also are the amorous and unprincipled subtypes.

SONET is based on a synchronous signal comprised of eight-bit octets, which are organized into a frame structure. The frame can be represented by a two-dimensional map comprising N rows and M columns, where each box so derived contains one octet (or byte). The upper left-hand corner of the rectangular map representing a frame contains an identi able marker to tell the receiver it is the start of frame. SONET consists of a basic, rst-level, structure called STS-1, which is discussed in the following. The de nition of the rst level also de nes the entire hierarchy of SONET signals because higher-level SONET signals are obtained by synchronously multiplexing the lower-level modules. When lower-level modules are multiplexed together, the result is denoted as STS-N (STS stands for synchronous transport signal), where N is an integer. The resulting format then can be converted to an OC-N (OC stands for optical carrier) or STS-N electrical signal. There is an integer multiple relationship between the rate of the basic module STS-1 and the OC-N electrical signals (i.e., the rate of an OC-N is equal to N times the rate of an STS-1). Only OC-1, -3, -12, -24, -48, and -192 are supported by today s SONET.

Distributed Database Management Systems by Saeed K. Rahimi and Frank S. Haug Copyright 2010 the IEEE Computer Society

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The weight-loss data from Tables 1.2 and 1.9 are recasts in the form of an SPF-3 2 design in Table 1.11. The ANOVA for these data is given in Table 1.12. The null hypothesis for treatment B can be rejected. However, the null hypothesis for treatment A and the A B interaction cannot be rejected. The denominator of the F statistic for treatment A [MSBL(A) = 20.1667] is almost twice as large as the denominator for the tests of B and A B (MSRES = 10.8333). A feeling for the relative power of the test of treatment A for the SPF-3 2, CRF-32, and RBF-32 designs can be obtained by comparing their F statistics and p values: