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where V is the voltage across the metallurgical junction, Co is the constant associated with the junction capacitance per unit area, and Vo is the junction contact potential. As the d.c. bias condition changes, the voltage dependency of the silicon junction capacitance leads to a variation in the loading capacitance; this again leads to the variation in the linearity of a circuit as a function of the bias voltage. In the case of a double-diode network, one element is forward biased whereas the other element is reverse biased; this was noted by Richier et al. [1] who found that the presence of the forward bias and reverse bias state can compensate for the voltage dependence of a diode element. Figure 4.2 highlights the voltage dependence of a single diode element and the double-diode element. In the metallurgical junction capacitance relationship, the improvement of the linearity reduction can be achieved by the two variables, the capacitance per unit area (Co) and the contact potential (Vo). The capacitance per unit area in the relationship can be achieved by the following: Type of diode elements (e.g., different elements will have a fundamentally different capacitance per unit area). Area ratio of the diode elements (e.g., relative size of the rst and second element). In RF CMOS technology, the substrate resistivity is increased in order to reduce the noise coupling between the digital, analog, and RF circuits. As the substrate resistance increases,

obtained from the Canada and German twin samples described earlier Two general models were t to the data The rst speci ed additive genetic and nonshared environmental in uences for females and males and a male-speci c genetic factor The second tested whether heritable in uences common to males and females were the same across the two samples Table 37 reports the intrapair twin correlations for each zygosity group in each sample The MZ male and MZ female correlations exceed their respective DZ correlations, suggesting the presence of heritable in uences on each NEO-FFI domain in each sample Of particular interest is the comparison between the DZ opposite-sex correlations and the same-sex DZ correlations In both samples, the DZ oppositesex correlation for Conscientiousness was near zero, suggesting the presence of differential gender effects The nal form of the best- tting model is presented in Table 38.

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Figure 7-2

The results suggest that genetic and environmental in uences common to males and females in uence four of the ve FFM domains The exception was Conscientiousness, for which genderspeci c additive genetic in uences operate However, the external events and experiences speci c to each twin nonshared environmental in uences are common to males and females The results also suggest that the type and magnitude of genetic and environmental in uence were the same across the two groups, supporting the notion that the vefactor model as assessed by the NEO-FFI is applicable to different cultures and genders This study has several limitations The rst is that the sample sizes are rather small in both samples, especially male DZ twin pairs and opposite-sex pairs The twin covariances associated with these two zygosity types, especially the oppositesex pairs, are crucial for the validity of the analyses.

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The availability of relatively few twin pairs calls into question the stability of the correlations and thus the detection of sexlimited genes as was obtained for Conscientiousness Second, the study used the NEO-FFI, the short form of the NEO-PI-R The full scale might produce different results because long versions of these scales sample domains more.

Figure 3-3

AAC audio, 392 Absolute location, 442 Access, generally control, security services, 374 Internet service providers (ISPs), 109 of ine, 144 145, 265 points, wireless LAN network, 142 workload characterization, 144 145 Acknowledgments (ACKs) negative, 95 98, 346 positive, 93, 95, 345 ACME (architecture for content delivery in the mobile environment) de ned, 5 6 overview of, 183 185 performance analysis in CDMA networks, 191, 196 197 slotted ALOHA system, 191 196 system description, 191 in radio resource management, 201 terminal power consumption in, 185 186, 198 user interest correlation: algorithm, 197 198 simulations, 198 200 traces, 198 ACME Director characteristics of, 190 192, 197 198

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