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17.2.2.7 SPE Assembly/ Disassembly Process. Payload mapping is the process of assembling a tributary signal into an SPE. It is fundamental to SONET operation. The payload capacity provided for each individual tributary signal is always slightly greater than that required by the tributary signal. The mapping process, in essence, is to synchronize the tributary signal with the payload capacity. This is achieved by adding stuf ng bits to the bit stream as part of the mapping process. An example might be a DS3 tributary signal at a nominal rate of 44.736 Mbps to be synchronized with a payload capacity of 49.54 Mbps provided by an STS-1 SPE. The addition of path overhead completes the assembly process of the STS-1 SPE and increases the bit rate of the composite signal to 50.11 Mbps. The SPE assembly process is shown graphically in Figure 17.12. At the terminus or drop point of the network, the original DS3 payload must be recovered, as in our example. The process of SPE disassembly is shown in Figure 17.13. The term used here is payload demapping. The demapping process desynchronizes the tributary signal from the composite SPE signal by stripping off the path overhead and the added stuff bits. In the example, an STS-1 SPE with a mapped DS3 payload arrives at the tributary disassembly location with a signal rate of 50.11 Mbps. The stripping process results in a discontinuous signal representing the transported DS3 signal with an average signal rate of 44.74 Mbps. The timing discontinuities are reduced by means of a desynchronizing phase-locked loop, which then produces a continuous DS3 signal at the required average transmission rate (Refs. 1, 2).

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Table 1.1 Example of monitoring networks involving aerosol composition measurements in the US Network Clean Air Status and Trends Network (CASTNet) Start year 1990 Number of sites 87 Measurements Sampling schedule: lters exposed over 7 days to produce 7-day averages (Tuesday to Tuesday) Gaseous: SO2 , HNO3 , O3 Particulate: SO2 , NO , 4 3 NH+ , other relevant ions 4 Sampling schedule: 24 h every third day Particulate: element and organic C, SO2 , NO , Cl , elements 4 3 between Na and Pb PM10 and PM2.5 (mass) Selected sites: light scattering and/or extinction coef cient

Three-Component Model Guiding Assumptions The three-component model hypothesizes that attitudes express people s beliefs, feelings, and past behaviors regarding the attitude object (Zanna & Rempel, 1988) For example, people might form a positive attitude toward eating spaghetti because spaghetti tastes good (affective component) and they believe that spaghetti is nutritious (cognitive component) Moreover, through the process of self-perception (Bem, 1972; Olson, 1992), people may decide that they like spaghetti because they can recall eating it often (behavioral component) Thus, this model suggests that people have positive attitudes toward an object when their beliefs, feelings, and behaviors express favorability toward an object, whereas people have negative attitudes toward an object when their beliefs, feelings, and behaviors express unfavorability toward the object.

We think it important to note, however, that the three-component view also regards attitudes as being distinct from the beliefs, feelings, and behaviors that in uence them following the adage that the whole is not simply the sum of its parts (Eagly & Chaiken, 1998; Zanna & Rempel, 1988) The attitude per se is a net evaluation of an attitude object; people can experience this evaluation when they encounter the attitude object, and they can store their attitude as a statement in memory (eg, ice cream is good) Similarly, the attitude object can evoke the component beliefs, feelings, and behaviors, and the components can be subjectively represented in memory Nonetheless, these components are more circumscribed in their focus Beliefs are perceived associations between an object and its attributes, which may be evaluative in nature (eg.

The value of homeopathy as a treatment for depression is presently unknown because of the lack of substantiation by systematic research Davidson, Morrison, Shore, and Davidson (1997) reported a case study of a 47-year-old woman whose depressive and anxious symptoms improved on uoxetine (Prozac) and calcarea carbonica (a homeopathic remedy) The thorough review of homeopathy clinical trials by Kleijnen et al (1991) and the meta-analysis by Linde et al (1997) detected only one study related to depression Although this study (Ernst et al, 1998) produced a result in favor of homeopathy, the study was of low methodological quality Furthermore, two large reviews of the role of homeopathy in clinical medicine concluded that, except for the occasionally demonstrated bene t, there was little scienti c evidence to support the use of homeopathy in the majority of clinical settings (Watkins, 1994).