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The alpha helix is a secondary structure in which the polypeptide chain forms a right-handed helical shape The backbone of the chain is on the inside of the helix with the various amino acid side chains on the outside (This is in contrast to DNA secondary structure in which the backbone is on the outside of the helix and the nucleotide bases are on the inside) One of the characteristic features of the alpha helix is that it maximizes the number of hydrogen bonds that can form among the amide and carbonyl groups of the polypeptide backbone The hydrogen atom from each of the backbone amides (N-H) forms a hydrogen bond with the peptide carbonyl oxygen (C = O) that is four residues further along on the chain The result is 36 amino acid residues, or peptide bonds, per turn of the helix The pitch of the alpha helix is 54 nm; that is, each turn of the helix is about 54 nm long (or 15 nm per amino acid residue) The backbone bond angles are f = 257 and c = 247 Figure 9-8 shows a schematic diagram of an alpha helix Some of the hydrogen bonds are shown as dotted lines The alpha helix is also a conformation that maximizes the energy benefit from the peptide bond dipoles (Fig 9-4) Adjacent peptide bond dipoles are somewhat side by side, so their dipole interaction (which varies as 1/r 3) is repulsive But peptide bond dipoles further along the helix are lined up nearly end to end (see Fig 9-9) As explained above, end-to-end dipole-dipole interactions are approximately equivalent to charge-charge interactions This makes them significantly stronger over longer distances (compared with the adjacent

a. Use the system Window color for the background. b. Use the WindowText color for the actual text. 13 Draw the caption string in the text rectangle using the default font.

g.DrawString(p.Caption, e.Font, _textBrush, textRect); }

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Well done! You ve just created your first owner-drawn list box. This code provides a number of features that should be useful in your own applications. It includes how to draw the image as well as the string for the item, and how to handle selected and deselected text. Compile and run the application. Click the Thumbnail context menu and watch the list display thumbnails. Click it again and the list reverts to normal strings.

TRY IT!

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Our list box currently displays the file name for each photograph when DrawMode is Normal, and the caption string when DrawMode is OwnerDrawVariable. It would be nice if the user could select which string to display in either mode. Try implementing this change by adding additional entries to the ListBox control s context menu. Add a parent menu called Display As, and a submenu to allow the user to select between File Name, Caption, and Photographer. Based on their selection, set the DisplayMember property for the list to the appropriate property string. In normal draw mode, the framework picks up the DisplayMember property automatically. For the DrawItem event, you will need to retrieve the appropriate string based on the DisplayMember value. You can use string comparisons to do this, or use the System.Reflection namespace classes and types. This namespace is not discussed in detail in this book, but the following code excerpt can be used at the end of your DrawItem event handler to dynamically determine the value associated with the property corresponding to a given string.

be searched grows More and more records have to be searched, requiring more time and resources Consequently, as more and more records are searched, the number of possible matches grows ( 17 explains this challenge in greater detail) Given that identification is more difficult, identification programs are still relatively difficult and costly for population sizes that reach millions or more people Identification matches return an ordered list of candidate matches (such as a list of possible criminals that might match a face in a shopping mall) This concept is also sometimes referred to as negative matching or negative identification (since generally the system discards those that do not match a predetermined list, like a criminal list) These systems tend to be more expensive as a result of the hardware and software needs Some of the key measurements in accuracy include the False Acceptance Rate (FAR) and the False Rejection Rate (FRR) see Figure 2-3 for the formulas The FAR, also known as a False Match Rate or Type II error, describes the number of times someone is inaccurately positively matched The FRR, also known as a False Non-Match Rate or Type I error, derives the number of times someone who should be identified positively is instead rejected The combination of the FAR and FRR can help determine which biometric device is more useful in a particular scenario Generally, the crossover rate, or the equal error rate, is the intersection of the rate of these two events (see Figure 2-4) The lower the crossover rate, the better the rating of the biometric system Usually in the course of matching (between a presented sample and a stored template), a score is developed Based on a set of parameters, the score is determined and if it reaches past a predetermined threshold, then the match is confirmed Matches can be done as a binary option or in multiple sequences In the binary option the score reaches the predetermined threshold or it does not In the multiple sequence scenario, a match score below the threshold triggers another biometric query (perhaps from a different device or perhaps the same device, which averages the score over several tries).

PropertyInfo pi = typeof(Photograph). GetProperty(lstPhotos.DisplayMember); object propValue = pi.GetValue(p, null); g.DrawString(propValue.ToString(), e.Font, _textBrush, textRect);

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