### Table 1. Characterizing parameters and some computed quantities for all models. N is the number of grid zones per dimension, L the size of the largest grid, l the size of the smallest zone, M lt;11 the gas mass with density below 1011 g/cm3 at the end of the simulation, and Md the mass with speci c angular momentum larger than j vKepler(3Rs)3Rs where Rs is the event horizon of a 3 M black hole probably forming from the colliding neutron stars. Mg denotes the mass swept o the grid, Mu is the mass leaving the grid unbound, and Tex the maximum temperature (in energy units) reached on the grid during the simulation of a model.

"... In PAGE 13: ... In Model H about 1:5 10?2 M are able to escape the gravitational potential of the collision remnant, whereas it is little more than one tenth of this amount in Model O (cf. Table1 ). Obviously, the angular momentum of Model O (see Fig.... In PAGE 13: ... An additional e ect comes from the mass loss o the computational grid at 4 ms lt; t lt; 8 ms (Fig. 10) which removes an angular mo- mentum of about Jz Mgrgvg 2 1048 g cm2 s?1 (with Mg taken from Table1 and rg 160 km being the grid radius and vg 3:5 109 cm s?1 the nearly tangential velocity of the gas when it leaves the grid) or 3.5% of the initial angular momentum.... ..."

### Table 7: One-Step Transition Matrix (6-month horizon)

2002

"... In PAGE 14: ...xtending the time-horizon to from 1 to 6 months (i.e., a transition from January to July to January, etc.) increases intra-distribution mobility ( Table7 ). As expected, the probability of remaining within the same quartile after 6 months is quantitatively lower than the probability of the same event after 1 month.... ..."

### Table 2: Evolutionary Horizons

"... In PAGE 4: ...hange that is constant on average. The oldest fossils are of prokaryotes in rocks about 2.5 billion years old; this geological age is consistent with that inferred from evolutionary divergence rates. Table 1 summarizes some important milestones in evolutionary time, and, when considered with Table2 , gives a better perspective on the evolutionary horizons provided by different protein families. The theoretical lookback times in Table 2 are based on the assumption that one can identify proteins that share about 20% sequence identity throughout their entire length.... In PAGE 4: ... Table 1 summarizes some important milestones in evolutionary time, and, when considered with Table 2, gives a better perspective on the evolutionary horizons provided by different protein families. The theoretical lookback times in Table2 are based on the assumption that one can identify proteins that share about 20% sequence identity throughout their entire length. It will be clear from later examples that if two protein sequences share 25% identity across their lengths, they are homologous, and that in... ..."

### Table 5. Frequency assessment period

"... In PAGE 4: ...e., less than 1/3 of the time, 1/3 to 2/3 of the time, more than 2/3 of the time), but how long is the event horizon? That is, what is the relevant time period for making the occasional/intermittent/ continuous classification? Table5 summarizes the pilot responses. Most pilots make their assessments in the one to two minute time period.... ..."

### Table 7: Results for Example 2 using six event points

1998

"... In PAGE 25: ...1832 units within the time horizon of 8 hours. The corresponding solution and gantt chart is shown in Table7 and in Figure 8. 6.... ..."

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### Table 56: Fixed horizon performance as a function of horizon on the dinero trace.

1996

Cited by 96

### Table 5: Results for Example 2 using ve event points

1998

"... In PAGE 24: ...15 units within the time horizon of 8 hours. The obtained values of wv(i; n) are given in Table5 and the corresponding gantt chart is shown in Figure 7.... ..."

Cited by 19