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wavelength and decay time arising from each nucleus. The one-dimensional NMR spectrum of small molecules is structurally informative since resonances resulting from the experiment are well-resolved and arise from individual protons. However, large biomolecules such as proteins and nucleic acids yield complex spectra with extensive overlap between individual peaks which makes structural interpretation of these samples from one-dimensional NMR spectra alone impossible. Two-dimensional NMR (2-D NMR) overcomes this dif culty by extending measurements of these effects into a second dimension and, as will be described later, three- and four-dimensional NMR are also possible. These measurements can be used to detect interactions between magnetized protons which are near together in space and are of two general types; through-space or through-bond. Through-space interactions are called nuclear overhauser effects (NOEs) while through-bond interactions result in correlation spectroscopy. The two most important types of 2-D NMR spectroscopy are therefore referred to as NOESY (nuclear overhauser effect spectroscopy) and COSY (correlation spectroscopy). Both of these effects are due to interactions between magnetic dipoles in a pair of nuclei which are spatially near to each other and both types of experiment are used in the determination of structure in large biomolecules by NMR.

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The REVOLVE command allows you to select more than one object to revolve, something that you can t do with the REVSURF command. The prompts of the two commands ask for the same information but in a slightly different way. Figure 23-27 shows two examples of the REVOLVE command, one that creates a surface and the other that creates a solid. The arc is revolved around the line in each case, but when the line and the arc create a closed figure, the result is a solid.

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1. Start a command. 2. At the prompt where you need the function, type quickcalc. The QuickCalc window opens. 3. From the Variables list, double-click the function that you want to place in the Input box of the QuickCalc window. 4. Press Enter. You return to your drawing and see a pickbox cursor. 5. Pick the required points, most commonly by object snaps. The QuickCalc window returns, and you see an absolute coordinate in the Input box. 6. Click the Apply button. 7. Continue the command.

Parabolic partial differential equation, 526 Parallelogram equality, 15 Parametric ampli er, 473 Parseval s equality, 216 Partial differential equation (PDE), 525 PASCAL, 38 Perfectly matched layer (PML), 540,544,553 Permeability, 535 Permittivity, 535 Permutation matrix, 205

These observations are based on reference [73].

The GRUB boot loader is extremely powerful and highly configurable. Unfortunately, discussing every nuance of configuring it is outside the scope of this book. For more information about configuring GRUB, see a book on Linux system administration or see GRUB s online documentation, which is available at www.gnu.org/ software/grub/manual/html_node/. You must configure GRUB while running Linux if you want to make permanent changes, because the GRUB configuration file is located in the Linux /boot file system.

The second C is consistency. Consistency can have a lot of meanings. Fundamentally, being a successful investor demands that your behavior be consistent with your belief system. But the way I think most about consistency is as an approach to get results. Whatever your goal may be and this is not limited to investing there are usually two ways to achieve it: the slow and steady, incremental approach or the big-hit method. With the big-hit method, you essentially go for broke putting all your chips into one play, one client, one starvation diet. If it works at all, it works big. But even then, the big-hit results usually are not long-lasting. The consistent tactic can be much more tedious. Decades ago, when I used to sell nancial products, we called it the water torture way. Some folks in the of ce would ignore the little clients and just hustle for a

10 passive antenna 5 RF = 33.3 k RF = 42.7 k RF = 50.7 k -5 1650 1700 1750 1800 1850

The Content placeholders are shown in 4 in Figure 4-12. You can also see 4 for more on moving and resizing an object.

4.23 Suppose that the probability (density) function of the observations w = (w1 . . . WN) T is a linear exponential family and that Ew, = 8 for all n, where 8 is a scalar parameter. Show that for all distributions concerned, the efficient unbiased estimator of 8 is the average of the w, if these are uncorrelated and have an equal variance c2(8). 4.24 Suppose that the observations w = (w1 . . . W N )have a Poisson distribution with ~ Ew, = &[a1 exp(-Plz,) a 2 exp(-/32z,)], where n is a known scale factor. The parameters 8 = (01 a 2 P1 ,D2)T are unknown but the ratio X = a2/a1 is known.

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