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However, not all acentric fragments become micronuclei at the rst cell division; some can survive, replicate, and become micronuclei at the second or subsequent division It has additionally been suggested that micronuclei frequency decrease with cell division because chromosomes in micronuclei may continue to replicate and reattach to the spindle at a subsequent mitosis, producing a normal daughter cell, while the micronucleus remains associated with the originally produced hypoploid nucleus This mechanism requires that there are minimal adverse effects when the chromosomes are in the micronucleus and that the cell can survive to mitosis (Tucker & Preston, 1996) Since micronuclei cannot be observed until after the rst cell cycle, the frequencies of these within a cell population is highly dependent on the kinetics of cell proliferation Rates of cell proliferation probably vary widely, depending on sh species, target tissue and environmental conditions (eg temperature) (Al-Sabti & Metcalfe, 1995).

The timing between the HS-SCCH and the HS-DSCH allows the terminal to have one slot time to gure out which codes to de-spread and ascertain the modulation. For the remaining parameters, slot processing time has to be considered before the transmission is over and a new 2-ms TTI may start. When HSDPA is operated using the time multiplexing principle, then only one HSSCCH can be con gured. In this case only one user receives data at a time. Figure 4.11 illustrates the case with a single HS-SCCH. When there is a need to have code multiplexing, then more than one HS-SCCH needs to be included, as shown in Figure 4.12. A single terminal may consider at most four HSSCCHs; the system itself could con gure even more. In practical scenarios it is not likely that more than four would be needed. One of the motivations for code multiplexing is the case when more than ve codes can be devoted to HSDPA use. Then, especially when considering the expected rst-phase devices, there are going to be terminals that can

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Example 8.1: Kidney Example Likelihood Construction. We return to the two-state model for kidney failure rst presented in Example 2.1. The owgraph is duplicated in Figure 8.1. Example 3.1 presented the exact inversion of the MGF for the waiting time distribution for failure of both kidneys. Example 5.5 presented the Bayes predictive density for the time to failure of both kidneys, and Example 3.8 presented the maximum likelihood estimated density. Recall that state 0 represents initial diagnosis of kidney disease where the patient has two functioning kidneys. State 1 represents one failed kidney, and state 2 represents two failed kidneys, an absorbing state. Y0 is the random waiting time in state 0 until state 1 is reached, and Y1 is the random waiting time in state 1 until state 2 is reached. We assume that Y0 Exp(2 0 ) is independent of Y1 Exp( 1 ). Let T = Y1 + Y2 be the total waiting time from 0 2. Suppose that we have observations on T from n kidney patients i.e., we have incomplete data such that we observe each patient in state 0 and next in state 2. Our quantity of interest is the survival time of the patient s kidneys, that is, the waiting time from 0 2. We compute both the exact likelihood and the approximate likelihood. We found the exact density of T in (3.6) to be fT (t| 0 , 1 ) = 2 0 1 (e 1 t e 2 0 t ) 2 0 1 for t > 0, 0 > 0, 1 > 0, 2 0 = 1 .

There has been an increasing interest towards the use of micronuclei as an index of cytogenetic damage in sh and other marine organisms exposed to a variety of toxic and genotoxic pollutants under laboratory (Al-Sabti, 1986a,b; Al-Sabti, 1994; Al-Sabti et al, 1994; Al-Sabti, 1995b; Burgeot et al, 1995; Venier et al, 1997; Marlasca et al, 1998) and eld conditions (Al-Sabti & Hardig, 1990; Al-Sabti, 1992a,b; Burgeot et al, 1996a; Rao et al, 1997) Micronuclei detection assay has been employed in genotoxicity studies carried out in invertebrates (Brunetti et al, 1992; Burgeot et al, 1995, 1996b; Venier et al, 1997), sh (Al-Sabti et al, 1994; Al-Sabti, 1995b; Rao et al, 1997; Marlasca et al, 1998) and humans (Fenech et al, 1994; Vral et al, 1994).

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