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medical link may be useful in this context. However, legal opinion in the UK and USA tends rather to favour a temporary or quasi-proxy status conferred on the physician in charge of treatment and to whom the patient is assumed to devolve his or her decision making. A third and final problem noted here arises when a patient refuses treatment. For example, a patient may be willing to receive treatment but only by conventional means and not by telemedicine. Alternatively, and reflecting the global nature of modern medicine, telemedical treatment may be acceptable but not by certain practitioners, e.g. an Albanian patient might not wish to be treated by a Serbian doctor. Yet again, a patient may refuse treatment on moral or religious grounds (see above). In these situations, patients with the capacity to do so are required to sign a written record stating the fact of their refusal and accepting its medical consequences. These records are usually generated by the healthcare provider but there is no reason why they cannot be drafted by the patient, as happens with Jehovah s Witnesses. Clearly. these and other examples create difficult ethical dilemmas for doctors. However, provided the doctors have taken all reasonable steps to confirm consent, and there are no issues of negligence, then the legal framework is usually sufficient to defend them from prosecutions brought by patients who may feel that they have been unjustly treated (or not treated).

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Bit error rate characterizationof convolutionalcodes is frequently accomplishedby simulation and approximation. In this section, we present performance as a function of quantization, constraint length, window length, and codeword size. These results generally follow [148], but have been recomputed here. Quantization of the metric was discussed in the previous section. In the results here, a simpler quantized metric is used. Assume that BPSK modulation is employed and that the transmitted signal amplitudea is normalized to f1. The received signal I is quantized to m bits, resulting in M = 2mdifferent quantizationlevels, using uniformly spaced quantization thresholds. The distance between quantization thresholds is A. Figure 12.15 shows 4-level quantization with A = 1 and 8-level quantization using A = 0.5 and A = Rather than compute the log likelihood of the probability of falling in a decision region, in this approach the quantized q value itself is used as the branch metric if the signal amplitude 1 is sent, or the complement M - q - 1 is used if -1 is sent. The resulting integer branch metric is computed as shown in Table 12.1. This branch metric is clearly suboptimal, not being an affine transformation of the log likelihood. However, simulations have shown that it performs very close to optimal and it is widely used. Obviously, the performance depends upon the quantization threshold A employed. For the 8-level quantizer, the value A = 0.4 is employed. For the 16-level quantizer, A = 0.25 is used, and for the 4-level quantizer, A = 1 is used. We demonstrate below the dependence of the bit-error rate upon A.

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TO ARRIVE AT SUCH AN IDEA WITHOUT FIRST UNDERSTANDING THE FUNDAMENTAL ESSENCE OF THE BRAND AND THE BUSINESS IN WHICH YOU OPERATE.

The preceding tells you to press the three listed keys for your system at the same time. You can also hold down one or more keys and then press the final key. Release all the keys at the same time.

Voltage (V)

A Li-ion battery is usually charged inside the device that it s used in in most cases, the battery is not removed. An example of this is when you plug a small wall adapter into your cell phone or PDA for the evening in order to recharge it. The Sony Infolithium is a very useful, removable Li-ion battery. It comes in two main sizes, M for digital cameras and L for modern Sony camcorders. (See Figure 3-2.) Both sizes are rated at 7.2 volts, but the L type is larger and provides more watt-hours of power.

IF ((father-of f y) AND (father-of f z)) OR ((mother-of m y) AND (mother-of m z)) THEN (siblings y z)

FIgUre 26-5 RealPlayer s interface enables the user to forego a Web browser completely when browsing for streaming media.

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The clipping property of a layer essentially crops the visible portion of that layer Four values are used to define the clipped section: Left, Top, Right, and Bottom These values are pixel measurements relative to the upper-left corner of the layer Although you could bring your image into an image editor to find the measurements, you can, with a slight bit of trickiness, also get the measurements right from Dreamweaver To get the relative pixel values within a layer, I use another temporary layer drawn over my clipped area I can shape this temporary layer to the exact size of the clip and then note the layer s coordinates and dimensions Because one layer can nest inside another, you can find the relative positioning the Left and Top values very easily Finding the Right and Bottom values then requires only a minor calculation.

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