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We conclude this section by discussing commonalities and differences between retailer risk and producer risk. One point in common is that market instruments do not address many of the risks of retailer and producer portfolios. Additionally, the instruments address ISO index risk incompletely. Table 10.6 summarizes the shortcomings of market instruments. Another feature that is common to both retailers and producers is that operational performance has a large impact on risk. Poor load forecasting increases retailer risk, while excellent load forecasting decreases retailer risk. For the producer, fewer forced outages and a more stable output through diversi cation both decrease risk. A signi cant difference between retailers and producers is that producers are able to manage their volumetric risk through unit diversi cation and sound operating and maintenance procedures. However, the retailer is unable to address volumetric risk due to customer departure. The inability to manage the risk of customer departure is a reason that retailers are less disposed toward participating in midterm electricity markets.

Table 26.1 Suggested routine and optional physical assessment and investigations for children and young adolescents with eating disorders Routine Examination Heighta Weighta Parents height and weight %BMI or BMIa Pubertal stagea Peripheral circulation Pulse/Blood pressure/Temperature Ask about : Previous growth records Menarche/LMP Medication/other illnesse Bone age x-ray ECG Urea and electrolytes/Full blood count Liver function test Urine speci c gravity Baseline bone density scan Pelvic ultrasound Optional Skinfold thicknessa /body fat measure Mid arm circumferencea Fundi/Eye movements Re exes/Power/Gait If male or atypical Cranial nerves Peripheral nerves Coordination

8.40% 5.09 15.26 4.96 11.42 13.49 4.52 14.99 12.41 6.05 13.32 13.34 19.47 8.14 4.09 6.26 5.26 7.22 24.88 10.85 5.07 13.96 9.80 4.22 10.10%

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As we will emphasize later, the eye sees differences in light intensity (contrast) and perceives different wavelengths as colors, but cannot discern differences in phase displacements between waves or detect differences in the state of polarization. The range of wavelengths perceived as color extends from 400 nm (violet) to 750 nm (red), while peak sensitivity in bright light occurs at 555 nm (yellow-green). The curves in Figure 2-6 show the response of the eye to light of different wavelengths for both dim light (night or rod vision) and bright light (day or cone vision) conditions. The eye itself is actually a logarithmic detector that allows us to see both bright and dim objects simultaneously in the same visual scene. Thus, the apparent difference in intensity between two objects I1 and I2 is perceived as the logarithm of the ratio of the intensities, that is, as log10(I1/I2). It is interesting that this relationship is inherent to the scale used by Hipparchus (160 127 B.C.) to describe the magnitudes of stars in 6 steps with 5 equal intervals of brightness. Still using the scale today, we say that an intensity difference of 100 is covered by 5 steps of Hipparchus stellar magnitude such that 2.512 log10100 5. Thus, each step of the scale is 2.512 times as much as the preceding step, and 2.5125 100, demonstrating that what we perceive as equal steps in intensity is really the log of the ratio of intensities. The sensitivity of the eye in bright light conditions covers about 3 orders of magnitude within a field of view; however, if we allow time for physiological adaptation and consider both dim and bright lighting conditions, the sensitivity range of the eye is found to cover an incredible 10 orders of magnitude overall.

10 Evolution of the Broadband Last Mile Perhaps the most signi cant well-de ned driver for FTTH today is highde nition television While conventional television (standard-de nition TV, SDTV) requires 20 Mb/s uncompressed and 4 Mb/s per channel when compressed with MPEG-2, HDTV requires 120 MB/s uncompressed and about 15 to 19 Mb/s when compressed with MPEG-2 [Poynton] Multichannel HDTV is beyond the reach of DSL today, except for the shortest distances betweeen head end and subscriber, while cable modems offer only a slightly better solution Current HDTV offerings, for example, by satellite broadcast, are limited to a small integer number of channels, whereas the public has gotten used to a choice among hundreds of satellite or cable SDTV channels.

Figure 7.8 The specificity divergence of the original distribution and the possibility distributions represented by the eight possible candidate graphs (upper numbers) and the evaluation of the eight graphs on an example database that induces the possibility distribution (lower numbers).

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One arti ce that is being studied by cable providers and telcos alike is not to try to send many HDTV channels to subscribers, but instead only one that has been preselected by the subscriber (video on demand, VoD), a temporary solution at best Equally important, and already an issue, is the growing need for fast response and download/upload times between desktop or laptop computers or between them and central facilities such as search engines When the data objects to be exchanged reach signi cant size, the response time limitations are due not to handshaking, application execution, or le access delays but to the time taken to transmit the large data object to the user.

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