"... In PAGE 16: ... With hot spots the variation is much greater, indicating the nice e ect load balancing has for smoothing the variation and reducing the gradient. Finally Table1 shows the calculated average number of moves made by a node in the entire system, with and without hot spots and with and without load balancing, and the normalized variation of the capacity at each processor from the mean. The table shows that the load balancing reduces the coe cient of variation at the cost of a very small increase in the average moves in the system, indicating that load balancing is e ective with low overhead.... ..."

"... In PAGE 7: ...enge - Shortest Paths (www.dis.uniroma1.it/~challenge9/). We used three 500 node slices of the New York City dataset, with up to 100 feasible shortest path queries per instance. We solve them without ( Table2 ), or with the Euclidean distance bounds (Table 3). The results are shown in Tables 2 and 3.... ..."

"... In PAGE 11: ... We estimated the reliability of the predictions (and the transition matrix model in general) by con- structing the future states proceeding from differ- ent transition matrices and initial states of the same study area. The Keava study area was taken as an example and three different forecasts were made based on: I) the matrix of the 31 year period, KN5 182 and KA5 182; 11) the matrix of the short (16 year) period, KN6682 and KA6682, and 111) the averaged matrix, KN5166 + KN6682 and KA5166 + KA6682 (see Table7 ). As we can see, the dis- crepancies between different predictions are on the level of 1% (with respect to the total study area), whereas the changes themselves reach 1.... ..."

"... In PAGE 15: ... This shows that these simple rules capture much of the complexity of algorithm selection in this domain. Table7 compares these results. There were several other interesting inferences drawn.... ..."

"... In PAGE 18: ...41, which is inelastic. We see this same pattern in Table5 for the New York results. However, in general, the demand for total insurance and its components is less price elastic in New York than in Florida.... In PAGE 20: ... -20- demanded is statistically lower for reporting companies than non-reporting companies.20 In Table5 , we see the same result for New York - the selection parameter is significant only for catastrophe demand. However, while significant, these coefficients do not appear to be economically important.... In PAGE 31: ... If consumers favor lower prices over greater financial strength, then we might see negative coefficients on all of the higher ratings and a positive coefficient on the lower ratings. In fact, we see in Table5 that the lower rated companies tend to be associated with higher levels of demand. That is consumers do not value additional solvency safety in determining how much overall insurance and non-catastrophe insurance they purchase.... In PAGE 33: ... We employ similar demand models in our analysis of the New York market, with some small adjustments to reflect coverage options specific to New York. Insured Risk Characteristics For New York in Table5 , we do see some differences compared to the results we obtained for Florida. Relative to superior fire resistant structures, owners of brick homes have a significantly lower demand and owners of wood frame construction have a higher demand for total insurance.... In PAGE 33: ... Further, as in Florida, as the level of public protection services declines, the demand for insurance increases. Contract Terms If we examine the policy choices in New York in Table5... ..."

"... In PAGE 2: ... 2. Study sites To develop and illustrate the screening procedure, we selected nine wetlands with contrasting spatial patterns of soils, land use, and topography in their watersheds ( Table1 ). Relatively small, isolated wetlands located at the base of steep hillsides were selected.... In PAGE 3: ... Most were classified as seasonally flooded or saturated but several sites were semi-permanently flooded because of impoundments. Their watersheds ranged from about 1 to 19 ha ( Table1 ) and con- tained a variety of land uses including cropland, pasture, forest and brush, low density residential, commercial, and inactive agriculture (Table 1, Fig. 1).... In PAGE 3: ... Most were classified as seasonally flooded or saturated but several sites were semi-permanently flooded because of impoundments. Their watersheds ranged from about 1 to 19 ha (Table 1) and con- tained a variety of land uses including cropland, pasture, forest and brush, low density residential, commercial, and inactive agriculture ( Table1 , Fig. 1).... In PAGE 4: ...tial) was variable, ranging from 0 to 90% (Table 1). With large areas of cropland in some of the water- sheds ( Table1 , Fig. 1) and the predominance of highly leachable soils, some of these wetlands clearly are at risk for subsurface nitrogen pollution.... ..."