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Broadcast television, as we know it, was in its infancy around 1948. Fringe area problems were much more acute in that period. By fringe area, we mean areas with poor or scanty signal coverage. A few TV users in fringe areas found that if they raised their antennas high enough and improved antenna gain characteristics, an excellent picture could be received. These users were the envy of the neighborhood. Several of these people who were familiar with RF signal transmission employed signal splitters so that their neighbors could share the excellent picture service. It was soon found there was a limit on how much signal splitting could be done before signal levels got so low that they were snowy or unusable. Remember that each time a signal splitter (even power split) is added, neglecting insertion losses, the TV signal drops 3 dB. Then someone got the bright idea of amplifying the signal before splitting. Now some real problems arose. One-channel ampli cation worked ne, but two channels from two antennas with signal combining became dif cult. Now we are dealing with comparatively broadband ampli ers. Among the impairments we can expect from broadband ampli ers and their connected transmission lines (coaxial cable) are the following:

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Table 41) (The difference between the two types of units are that mg/L and g/L express concentrations on the basis of mass per unit volume of liquid, whereas ppm and ppb take a mass per unit mass of liquid approach) If a hydrogeologist is never called upon to do more than assess whether a given water quality analysis complies with limit values laid down by law (see 7), then he or she might never need to move beyond simple conversions of this type However, whenever more detailed investigations of water chemistry are warranted, more extensive unit conversions are almost always needed (Box 41) The most fundamental transformation is to convert mg/L concentrations into an equivalent molar concentration.

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priority ows is almost constant with time, thus maintaining their QoS guarantees. Figure 23.5b shows the plot of the instantaneous throughput with time for different service ows. Here we note that since the load offered is the same, throughput is the same in time for all ows. Scenario 2. Table 23.3 presents the summary of the results obtained in this scenario.

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The task was to identify a prediction model for the resistance value of a steel plate at a rolling mill. This should be done in a rst step with some of ine (pre-collected) measurement data in order to obtain a feeling about the achieved quality of the fuzzy model and then to re ne the prediction model with newly recorded online data. The latter step was possible as rst a prediction for the resistance is given, in uencing the whole process at the rolling mill, whereas a few seconds later (after the steel plate is passed) the real value for the resistance is measured, which can then be incorporated into the model adaptation process. In this sense, it is not the predicted (and maybe wrong) value that is taken for further adaptation, but the correct measured value; hence, this can be seen as a potential procedure for improving the models. The initial situation was as follows: An analytical model was already available where some parameters were estimated through

provider rolls with resistance through the use of various nonconfrontational strategies, such as reflective listening (eg, slightly reframing a client s comment to show how it can actually support changing one s behaviors) and exploring ambivalence regarding change (eg, addressing what the athlete may not like about changing his or her substance use habits) Both of these strategies allow the provider to roll with resistance and help the client explore new perspectives For individuals who are actually ready to change their behavior, supporting their self-efficacy for changing is very important Many athletes are well aware of the importance of self-efficacy as it relates to performance Similarly, a client s belief that change is possible can be an important motivator and predictor of the efficacy of substance use interventions (W R Miller & Rollnick, 2002).

Understanding that there are a range of ways an individual can change his or her behavior can also enhance self-efficacy Finally, if a client commits to making a change in behavior, various cognitive-behavioral strategies can be utilized to assist with this attempt Once an individual pursues an initial change in behavior, the hope is that he or she can maintain this change ( be it a reduction in use or total abstinence) For the athlete who is making or has made changes (ie, a person who is in the action or maintenance stage), relapse prevention (Marlatt & Donovan, 2005) is another science-based approach with demonstrated success Relapse Prevention For those individuals who have made efforts to significantly reduce or eliminate their use of alcohol or drugs, relapse prevention interventions may be useful.