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The defaults command pays attention to upper- and lowercase in identifier names. For example, QuitMenuItem is not the same thing as quitMenuItem (one starts with an uppercase letter and the other doesn t). Make sure you type the identifiers just right, or stuff won t work and you ll be unnecessarily sad.



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1. Enhancing versus preserving (pleasure-pain): This dimension measures an individual s orientation toward life enhancement activities versus those aimed at life preservation. From a behavioral standpoint, this is translated into pleasure seeking versus avoidance of painful experiences. Those scoring high on the enhancing scale are outgoing and optimistic, while those scoring high on the preserving scale are worrisome and pessimistic. 2. Modifying versus accommodating (active-passive): This continuum assesses how individuals adapt themselves to their environment. For T. Millon, modifying persons are those who actively seek to manipulate and change their surroundings, while accommodating persons mold themselves to fit in with existing circumstances. Individuals who score high on the modifying scale take charge of their lives and play an active role in shaping the events that impact their lives. Those who score high on the accommodating scale tend to be dependent and acquiescent. 3. Individuating versus nurturing (self-other): This dimension assesses the behavioral manifestations of an individual s reproductive strategy. According to T. Millon, individuals tend toward propagation of the self or nurturance of others. There is an obvious parallel with masculinity-femininity, but this axis is more broadly based. Persons who score highly on the individuating scale are independent, egocentric, and seek to further their own aims. Those who obtain high scores on the nurturing scale value communality and tend to be gentle and protective of others.





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Registry Basics Creating and Opening Registry Keys Reading and Writing Registry Values Enumerating Registry Keys and Values Deleting Registry Keys and Values The Registry Sample Application Concluding Remarks

The front desk has always held a pivotal position of importance in the lodging operation. It is one of the rst points of contact with the guest, and, as such, its ambience sets

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These two properties enable us to construct a simple algorithm to nd a good quantizer: We start with a set of reconstruction points, nd the optimal set of reconstruction regions (which are the nearest-neighbor regions with respect to the distortion measure), then nd the optimal reconstruction points for these regions (the centroids of these regions if the distortion is squared error), and then repeat the iteration for this new set of reconstruction points. The expected distortion is decreased at each stage in the algorithm, so the algorithm will converge to a local minimum of the distortion. This algorithm is called the Lloyd algorithm [363] (for real-valued random variables) or the generalized Lloyd algorithm [358] (for vectorvalued random variables) and is frequently used to design quantization systems. Instead of quantizing a single random variable, let us assume that we are given a set of n i.i.d. random variables drawn according to a Gaussian distribution. These random variables are to be represented using nR bits. Since the source is i.i.d., the symbols are independent, and it may appear that the representation of each element is an independent problem to be treated separately. But this is not true, as the results on rate distortion theory will show. We will represent the entire sequence by a single index taking 2nR values. This treatment of entire sequences at once achieves a lower distortion for the same rate than independent quantization of the individual samples. 10.2 DEFINITIONS

The transmission rate of the communication system tends to the channel capacity, R C, if the coding block length, and hence the decoding delay, tends to in nity, T . Then, from this point of view, this is a non-practical system. An inspection of the expression C = B log2 (1 + S/N ) leads to the conclusion that both the bandwidth and the signal-to-noise ratio contribute to the performance of the system, as their increase provides a higher capacity, and their product is constant for a given capacity, and so they can be interchanged to improve the system performance. This expression is depicted in Figure 1.19. For a band-limited communication system of bandwidth B and in the presence of white noise, the noise power is equal to N = N0 B, where N0 is the power spectral density of the noise in that channel. Then C S = log2 1 + B N0 B There is an equivalent expression for the signal-to-noise ratio described in terms of the average bit energy E b and the transmission rate R. If R = C then Eb S S = = N0 N0 R N0 C Eb C C = log2 1 + B N0 B Eb B C/B = 1 2 N0 C , 2C/B = 1 + Eb N0 C B (93) (94) (95)

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