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Starting with the MBE server, establish global values for General settings and Channel Lineup but skip the Host-Specific details, particularly the Capture Card settings. The same HOW-TO guide goes on to describe the set-up procedure, which is slightly modified for clarity here. On the first SBE server: 1. Add the capture card on this host. The card receives card identity #1 in the global database. 2. Specify the first unique slave address for localhost. 3. Specify the Master IP address for the MBE server. 4. Connect the input source to the card. 5. Exit setup. On the MBE server: 1. Add the first capture card on the MBE. The card receives card identity #2 in the global database. 2. Exit setup. On the second SBE server: 1. Add the capture card on this host. 2. Specify a second unique slave address for localhost. 3. Specify the Master IP address for the MBE server. 4. Connect the input source to the card. The card receives card identity #3 in the global database. 5. Exit setup.

At the frequency of LORAN, waves are split into the ground wave (following the Earth s curvature) and the sky wave (re ected by the ionosphere). The attenuation of the ground wave is stronger, but receivers can differentiate it from the sky wave through the arrival time. The propagation model used for eLoran waves is quite good when the signal is traveling over the sea, and less accurate when traveling over land. Furthermore, as the propagation is supposed to follow the Earth s surface, signal disturbances may occur under certain conditions (especially at night where the ground wave vanishes and the sky wave propagates further). The ionosphere s reaction to sunrise and sunset are also a major concern. In addition, the in uence of inland structures, such as cities, is not modeled in eLoran propagation, and accuracy can decrease in such environments. When looking at a speci c LORAN chart, plotting the various hyperbolae (the time difference is the parameter), as given in Fig. 4.6, one can consider the same approach as that developed for GNSS when considering the dilution of precision (DOP) (see 8 for details on DOP). It appears that, depending on the location, the intersection of hyperbolae is not likely to provide the same accuracy, taking into account the uncertainties of the measurements. The best approach is to provide the receiver with two perpendicular hyperbolae at the receiver s location. When a LORAN chain is composed of more than three stations, the receiver can choose the best set of stations to optimize the resulting positioning accuracy, or alternatively use the redundancy thus available in order to solve the over-determined problem.

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TESTING MEDIATION: PROBING UNDERLYING GENERATIVE MECHANISMS As noted in the previous discussion of randomized experiments, having a relatively strong counterfactual comparison does not necessarily result in ndings that tell us anything about underlying mechanisms. We could observe, for instance, that a new freshman orientation program causes a reduction in student drinking, relative to a standard orientation program, and not gain any insights as to why the new program is more effective. As noted in the earlier section on underlying generative mechanisms, several advantages can result from increased knowledge about the processes that mediate a program s effects. This is re ected in the attention that many methodologists and statisticians have given to the study of mediation, that is, to the causal chains that connect a cause and an effect. This has been a major focus in work on causal modeling, structural equation modeling, and similar methods (e.g., Baron & Kenny, 1986; J reskog & S rbom, 1993; Kenny, Kashy, & Bolger, 1998). One approach to testing hypotheses about underlying generative mechanisms is to apply such methods in the context of a randomized experiment or quasi-experiment. In addition to the outcome variables of interest, potential mediators are measured, and relationships are assessed to test speci c mediational models. For example, an evaluation might test the impact of an experimental policy that reduces class size in selected grade school classrooms. The relevant theory may suggest that class size reductions improve student achievement because teachers in smaller classes spend more time on instruction

5. 6.

or multilayer density (three-dimensional). In each case there are major changes in cell shape, cell surface, and extracellular matrix, all of which will have signi cant effects on cell proliferation and differentiation. A high density will also limit nutrient perfusion and create local exhaustion of peptide growth factors [Stoker, 1973; Westermark and Wasteson, 1975]. In normal cell populations this leads to a withdrawal from the cycle, whereas in transformed cells, cell cycle arrest is much less effective and the cells tend to enter apoptosis. Cell concentration, as opposed to cell density, will exert its main effect through nutrient and growth factor depletion, but in stirred suspensions cell contactmediated effects are minimal, except where cells are grown as aggregates. Cell concentration per se, without cell interaction, will not in uence proliferation, other than by the effect of nutrient and growth factor depletion. High cell concentrations can also lead to apoptosis in transformed cells in suspension, notably in myelomas and hybridomas, but in the absence of cell contact signaling this is presumably a re ection of nutrient deprivation.

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