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C:\>tracert Usage: tracert [-d] [-h maximum hops] [-j host-list] [-w timeout] target name Options: -d -h maximum hops -j host-list -w timeout

SWIG works with both C++ classes and templates; but for some C++ features, you have to put forth a little extra effort to get them to work (it s all well documented, but a little less intuitive). SWIG does a great job of making the common case fast (the creators of SWIG cite the example of creating a Python module for OpenGL in 15 minutes or so); more complex C++ features require more work to make them callable from Python.

length L, alternating in spring constant between K and -K (that is, assume that the l/p2 term in the horizontal equation of motion is negligible). For what values of f i L is the transverse motion in such a system stable

In order to compare strings using non-native lexicographic rules, strcoll first transforms the strings in such a way that a normal string compare yields the correct result. If you will be performing many comparisons of the same string (sorting, for example), you can instead call strxfrm(s) to get the transformed format. This would calculate it only once, after which you can use Python s normal comparisons, such as cmp and the equality operators.

rapidly with BMI, and from a surprisingly low threshold: women who initially had a normal BMI of only 23 24 kg/m2 had a nearly fourfold increased risk of developing diabetes during the 20 years of follow up, as compared with those whose BMI was 22 kg/m2. Among the Pima Indians, who have a particularly high prevalence of both obesity and type 2 diabetes, preceding obesity in either sex is also strongly associated with a higher incidence of diabetes, independently of a family history (Knowler et al., 1991). The age of onset and duration of overweight are also important. Follow up of the Nurses Health Study cohort showed that women who gained 5 7.9 kg during early adulthood had a twofold higher risk of developing diabetes after 20 years, compared with those whose weight remained stable. Conversely, those who lost 5 kg reduced their risk by 50% or more (Colditz et al., 1995). Weight gain showed a synergistic interaction with BMI in determining diabetes risk (see Figure 9.10). Similarly, in the Health Professionals Follow-Up Study, men who gained 6 7 kg from the age of 21 years had twice the risk of those who had gained 2 kg (Chan et al., 1994). The progressive rise in obesity prevalence among younger subjects in many populations

FIGURE 14.37. The PSI phase unwrapping process: (a) the wavefront data modulo 2p at each pixel; (b) all possible solutions for the wavefront phase; and (c) the reconstructed wavefront.

Benzyl carbocation, 106 Benzyne, 159 160, 275 276 in Diels Alder reaction, 160 E1cb, 159 interaction diagram, 159 MW and IR spectra, 276 nucleophilic substitution, 159 Beta, in SHMO, 92 96 e ect of coordination number, 93 e ect of twisting, 102 energy scale, 92 heteroatoms, 93 table of, 94 BF3 a nity acetaldehyde, 123 acetone, 123 acrolein, 123 butenone, 123 dimethyl ether, 123 dimethylacrolein, 123 formaldehyde, 123 methanol, 123 methyl acetate, 123 methyl acrylate, 123 (E )-methylacrolein, 123 nucleophilicity, 123 oxetane, 123 table of, 123 tetrahydrofuran, 123 water, 123 BH3 NH3 , 284 structure, 284 Bicyclo[3.1.0]hex-2-ene, 291 sigmatropic rearrangement, 290 291 Bicyclo[2.1.0]pent-2-ene, 289 Bishomocyclopropenyl cation, 277 Bond, de nition of, 50 Bond angles geometric relationship between, 15 Bond dissociation energy relationship with pKa and Eox , 112 113 Bond Dissociation Energy (BDE) cubane C H, 282 cysteine S H, 113 glycine C H, 113 glutathione S H, 113 M H bonds, 195 methane, 113 table, 76 three-electron S S bond, 254 Bond energy, p bonds disilene, 104 ethylene, 104 silaethene, 104

>>> MyParser=xml.sax.make_parser() >>> MyParser.getFeature(\ http://xml.org/sax/features/namespaces ) 0 >>> # Activate namespace processing >>> MyParser.setFeature(\ http://xml.org/sax/features/namespaces ,1)

(continued )

(6.28)

0.5 0.5

By integration, the charge expressions are found to be Qg (Vgs , Vds ) = Cgs (Vgs , Vds ) + Cgd (Vgs , Vds ) dVgs 1 Vgs 2Vbi Cd0 Vbi 1 Vgd Vbi (3.68a)

Figure 6.34 The frequency divider at fundamental frequency (a) and at fractional frequency (b)