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break; case TBCD_CHANNEL: hBrushOld = (HBRUSH)SelectObject(hdc, GetStockObject(WHITE_BRUSH)); Rectangle(hdc, rcChannel.left, rcChannel.top, rcChannel.right, rcChannel.bottom); nRes = CDRF_SKIPDEFAULT; break; case TBCD_TICS: /* Tic marks get drawn first. Therefore draw the entire control outline here, so that it doesn t wipe out any subsequent painting. */ GetClientRect(hwnd, &rc); //First draw a black filled round rectangle hBrushOld = (HBRUSH)SelectObject(hdc, GetStockObject(BLACK_BRUSH)); RoundRect(hdc, rc.left, rc.top, rc.right, rc.bottom, 20, 20); /* Next inset the rectangle slightly, and fill it with white to leave behind the black "drop shadow" outline. */ SelectObject(hdc,GetStockObject(WHITE_BRUSH)); rc.bottom ; rc.right ; RoundRect(hdc, rc.left, rc.top, rc.right, rc.bottom, 20, 20); nRes = CDRF_DODEFAULT; break; } //End of switch(dwItemSpec) statement SelectObject(hdc, hBrushOld); return (nRes); } This function is responsible for drawing all of the trackbar control components. As parameters it takes the control HWND and HDC. It also takes the NMCUSTOMDRAW dwItemSpec value to specify which part of the control is to be drawn. Finally, it takes a BOOL indicating if the part of the control specified in the dwItemSpec parameter is selected.

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--4.0

10% Outage rate (bit/symbol)

Any object that resides in the Windows CE object store is assigned a unique object identifier by the operating system. This identifier is used, for example, to specify a database to be opened or a database record to delete. This object identifier is of type CEOID, one of the basic Windows CE data types. Given the unique identifier of any object in the object store, an application can extract all of the other information about the object. For instance, given the object identifier of a particular file, the application can

You can see how the final result was created by downloading Figure 10-22 from the Web site and looking at the layers. n

Abbreviations Breakeven sales units BE[u] Selling price SP[u] Variable cost per unit VC[u] Variable cost % VC[u] / SP[u] Sales price per unit SP[u] Contribution margin SP[u] VC[u]

Stephen Strack, PhD Psychology Service U.S. Department of Veterans Affairs Los Angeles, California Irving B. Weiner, PhD Department of Psychiatry and Behavioral Medicine University of South Florida Tampa, Florida

Blurring applies the opposite effect to images that Sharpening does. Instead of finding edges and adding contrast, blurring reduces the contrast, making edges softer. Photoshop has 11 Blur filters.

We can now prove an important and useful theorem demonstrating that no processing of Y , deterministic or random, can increase the information that Y contains about X. Theorem 2.8.1 (Data-processing inequality) I (X; Y ) I (X; Z). If X Y Z, then

14.1.3.2 Service-Oriented Architecture The service-oriented architecture (SOA) is another useful technique for visualizing and discussing application architectures but it is very different from the 3TM technique. The SOA has received a lot of attention lately because of its applicability to more modern technologies such as XML WebServices [Nagappan03], and the bene ts it has for distributed applications. Rather than focusing on tiers, the SOA is concerned with interaction between the services in a distributed architecture. Proponents of SOA argue that it provides a more practical solution to managing the complexities involved when deploying and maintaining services in a real-world distributed environment. A service in SOA is compatible with our simpli ed de nitions, but the SOA places additional emphasis and architectural constraints on the connections between service providers and service consumers. Because the interactions between service consumers and providers can be quite complicated, the SOA constraints help to simplify things and remove some potential issues.

Motels offer guests a limited range of services, which may include reservations, vending machines, swimming pools, and cable television. The size of these properties averages from 10 to 50 units. Motels are usually in suburban highway and airport locations. Guests

where x(k) = Q x(k) = Q [H s(k) + (k)]. Alternatively, for a nonsingular covariance matrix Rxx = E{x(k)xT (k)} = V VT with m = n, we can use the following algorithm:

Application of Scalar Timing Theory to Individual Trials, 285 Abduction. See Exploratory data analysis (EDA), abduction and Accessible missingness. See Missing at random (MAR) Ackerman-Schoendorf Scales for Parent Evaluation of Custody (ASPECT), 192, 193 Acquaintanceship effect, 368 Acquiescence, 371, 387, 397 Acquisition curves, 449 Activation map, 311 Acute stress disorder, 195 Add Health study, 670 673 Additive tree, 166 167 Additivity: factor analysis and, 159 ordinal analysis and, 635 636 preparatory data analysis and, 125 127 ADDTREE, 167 Adolescent Alcohol Prevention Trial, 664, 675 Affect Adjective Check List (AACL), 359 Multiple AACL (MAACL), 351, 359, 360, 361, 364, 372 Affect Grid, 354 Agriculture, factorial design and, 21 Akaike information criterion (AIC), 587, 589, 669 consistent AIC (CAIC), 669 Alcoholism. See Substance abuse Alcohol-Related Harm Prevention (AHP) project, 96 107 Algebra of expectations, 457 Algorithm: agglomerative, 170, 182 branch-and-bound, 171 divisive, 171 EDA and, 44 expectation maximization (EM) data analysis and, 88, 93 94, 100 LCA and, 665, 666, 667, 673, 676 SEM and, 615 optimization, 171 Aliases, 26 ALPHNORM, 93, 94, 107 Alzheimer s disease, 293, 294 glucose metabolism and, 309 American Board of Forensic Psychology, 189 American Psychiatric Association, 382 American Psychological Association (APA): animal learning and, 282 Board of Scienti c Affairs of the, 551 Division of Health Psychology, 241 Experimental Publication System, 551 forensic psychology and, 189 hypermedia and, 59 meta-analysis and, 534, 535