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In bipolar and BiCMOS technologies, transistors can be con gured to utilize the metallurgical junctions in a forward-bias or reverse-bias mode of operation. Bipolar transistors can be used in diodic operation for ESD protection. A common ESD circuit for applications is the use of a double-diode ESD network (Figure 8.23). A bipolar transistor can be con gured to utilize the base emitter or the base collector junction in a forward-bias mode for ESD protection. For ESD protection input networks, the base collector junction can be used as an ESD diode element in silicon bipolar transistors, silicon germanium (SiGe), or silicon germanium carbon (SiGeC) devices for a forward bias mode of operation; this can be used instead of a p /n-well diode element used in a CMOS-based ESD double diode network. For an ESD double-diode network, the base region is electrically connected to the input pad and the collector region is electrically connected to the VCC power supply; this will serve to provide protection for positive polarity ESD events (e.g., HBM). For negative polarity ESD events, the base region is electrically connected to the VSS ground rail and the collector region is electrically connected to the input signal pad. In this application, the emitter base are electrically shorted together to avoid an overstress of the emitter base junction. In this implementation, the same physical element provides protection for both the negative and the positive polarity events. This implementation also allows for injection to a secondary ground rail for discharging (e.g., analog VSS). In a second implementation, the collector-to-substrate junction can also be used for negative polarity ESD events. For this implementation, the emitter, base, and the collector are electrically

The GoToMax procedure in Listing 11-6 activates the worksheet cell that contains the maximum value. The procedure determines the maximum value in the selected range; but if a single cell is selected, it determines the maximum value for the entire worksheet. Next, it uses the Find method to locate the value and select the cell.

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The relation of knowledge development to children s basketball performance Journal of Sport Psychology, 9, 15 32 Gobet, F, & Simon, H A (1996) Recall of random and distorted chess positions: Implications for the theory of expertise Memory and Cognition, 24, 493 503 Goulet, C, Bard, C, & Fleury, M (1989) Expertise differences in preparing to return a tennis serve: A visual information processing approach Journal of Sport and Exercise Psychology, 11, 382 398 Gray, R (2004) Attending to the execution of a complex sensorimotor skill: Expertise differences, choking, and slumps Journal of Experimental Psychology: Applied, 10, 42 54 Haas, R (1995) Bewegungserkennung und Bewegungsanalyse mit dem synergetischen computer Aachen, Germany: Shaker-Verlag Universit t Stuttgart Haken, H (1996) Principles of brain functioning: A synergetic approach to brain activity, behavior, and cognition Berlin, Germany: Springer..

8-bit grayscale images do commonly have near duplicates in the color table, so this test fails on them. 8-bit grayscale is far less common than 8-bit color, but it is hardly a rarity. Use of 8-bit grayscale would not by itself be an indicator of hidden data; however, you can try this to determine whether data has been hidden in a grayscale image. In normal images, each pixel has a strong correlation with its neighboring pixels. The bit changes that S-Tools uses to embed data break up this correlation. Therefore, a program that measures the average correlation of a pixel with its neighbors will detect data hidden in grayscale images.

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Double-click the My Computer icon on your desktop. If this icon is not available, then click the Start button in the lower-left corner of Windows and click My Computer. If you can t nd the My Computer icon anywhere, do the following: a. Right-click in the empty space on your desktop. b. Select Properties. c. A window will open. Click the Desktop tab. d. Near the bottom of the window, click the Customize Desktop button.

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psychology research Its considerable development and refinement have resulted in a generally robust and psychometrically sound scale But despite several studies reporting a consistent pattern of dimensionality and ideal number of items (ie, a unidimensional scale of 7 items), results are inconsistent regarding which items should be included in a 7-item SPAS Such inconsistencies are largely due to the use of data-driven model modification processes rather than conceptual and theory-driven processes Ideally, adjustments to any scale should be consistent with the scale s underlying theoretical rationale, but the SPAS conceptual framework has never been clearly delineated The lack of a conceptual blueprint for guiding measurement refinements (along with differences in study samples and translations of the SPAS) likely contributes to differences in the proposed 7-item models Furthermore, very few psychometric studies have investigated samples other than physically active adolescents and college-age students.

Yes (5)

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