### Table 2. Characteristics of the Redshift Peaks

"... In PAGE 12: ... We identify ve distinct groups, labeled 1-5 in the interval 0 lt; z lt; 0:8 de ned by the gaps in the redshift distribution with overdensities of 5, 10, 13, 7 and 8 respectively. These are the same groups as those we found earlier and are listed in Table2 and their angular distributions are exhibited in Figures 9. We characterize each of the groups in turn.... In PAGE 14: ... Group 1, with only four members, is too small to make any statement and the eld is too small to cover all of group 2. We can characterize these groups by their measured velocity dispersions ( Table2 ). We do this assuming that a 4.... In PAGE 14: ...7 A instrumental uncertainty corresponding to (z) 0:0008 has been removed in quadrature. (The dispersions are slightly smaller than those in Table2 of Cohen et al. (1996a) due in part to re-reduction of one slitmask for which an erroneous wavelength scale was used in the preliminary reduction, and in part to the removal of the instrumental contribution.... In PAGE 15: ... (We choose to assume that the groups are spatially spherically symmetric, that the velocity distributions are locally isotropic and that the radial structure is quasi-isothermal.) On this basis, we compute maximum likelihood mass estimates out to the extremities of the observed galaxy distribution for groups 2,3,4,5 given in Table2 . (Group 1 is too small to carry out this procedure.... In PAGE 15: ... (Group 1 is too small to carry out this procedure.) The associated densities in units of the current, mean cosmological density and the B magnitude mass to light ratios are also given in Table2 . If we treat group 5 as two subgroups, the mass to light ratios are much closer to the other three estimates.... In PAGE 16: ...5. Interpretation of the Groups Table2 gives some of the characteristics of the population of each of the redshift peaks. The total population of the group, its total luminosity, the number of galaxies with L gt; L (calculated at K), the value of L=L at which the galaxy (assuming it is an Sa) falls out of a K lt; 20 mag sample, and the spectral type assigned to the brightest galaxy are given for each of the ve major groups.... In PAGE 17: ...bell richness class 1 clusters. Further discussion of this is deferred to a future paper. We now turn to the spectroscopy. Roughly 30% of the brightest galaxies in the peaks have been assigned a spectral type of \C quot; rather than of \A quot;, and the spectral class of the brightest galaxy itself switches from \A quot; to \C quot; (see Table2 ) in the higher redshift peaks. This may well be a manifestation in galaxies in the eld or groups of the Butcher-Oemler e ect, which was initially associated with galaxy colors.... ..."

### Table 1. Results of cluster analysis of Privacy Gradient use.

in Privacy Gradients: Exploring Ways to Manage Incidental Information During Co-located Collaboration

"... In PAGE 3: ... Overall, 36,170 pages were visited with 42% classified as public, 25% as semi-public, 15% as private, and 18% as don t save. A K-means cluster analysis grouped the participants into four clusters based on the relative proportions of sites they classified into each privacy gradient ( Table1 ). Examination of the cluster means revealed that each of the four clusters represents a group of individuals with a relatively high proportion of web browsing in one of the privacy gradients (C1-semi-public; C2-private; C3-public; C4-don t save).... ..."

### Table 1:Descriptions of Privacy Policy Statements Examined

"... In PAGE 9: ... These examples were based on an examination of policy statements on over 75 web sites. Table1 contains the descriptions presented to respondents to differentiate between strong, moderate, and weak privacy policy statements. Abbreviated descriptions for the three types of privacy policy statements were utilized to minimize the risk of respondents misinterpreting lengthy or technically written statements.... ..."

### Table 3 Link density in clusters

"... In PAGE 13: ...6). --------------------------- Insert Figure 2 here --------------------------- Table3 shows the total number of forward and backward link clusters, size of clusters, and density of links in the clusters for all participants under BF and SK conditions. The results in Table 3 indicate that the number of backward clusters is higher than the number of forward clusters in all BF sessions.... In PAGE 13: ...umber of links is 18, the size of the cluster is 5 and the link density is 18/5 = 3.6). --------------------------- Insert Figure 2 here --------------------------- Table 3 shows the total number of forward and backward link clusters, size of clusters, and density of links in the clusters for all participants under BF and SK conditions. The results in Table3 indicate that the number of backward clusters is higher than the number of forward clusters in all BF sessions. In SK sessions the number of backward and forward clusters are closer to each other.... In PAGE 13: ... In SK sessions the number of backward and forward clusters are closer to each other. ----------------------- Insert Table3 here ----------------------- Table 3 shows that the fore-link density is relatively higher than back-link density under the BF conditions for all architects except for A1. Note that for A1 the fore-link density in the BF and SK conditions are very close (2.... In PAGE 13: ... In SK sessions the number of backward and forward clusters are closer to each other. ----------------------- Insert Table 3 here ----------------------- Table3 shows that the fore-link density is relatively higher than back-link density under the BF conditions for all architects except for A1. Note that for A1 the fore-link density in the BF and SK conditions are very close (2.... In PAGE 14: ... A higher density of fore-links in clusters should indicate more idea generation. Table3 showed that the fore-link density was relatively higher under the BF conditions for all architects except A1. Hypothesis 1 can be accepted based on the results of five out of six architects; the use of imagery alone enhanced idea generation more than sketching did.... In PAGE 20: ... Thus, Group 2 under the BF conditions demonstrated higher conectedness of ideas, probably due to the familiarity through sketching effect. The link density in forward clusters was found to be significantly higher under BF conditions for Group 2 compared to all other sessions ( Table3 ). This can be taken as an evidence for the improved idea generation due to the familiarity/learning effect.... ..."

### Table 6 the cluster assignments of the privacy preserving k means algorithm compared to the regular k means clustering.

"... In PAGE 61: ... Although the descriptive information might provide interesting insights about the data, the actual use of clustering method on predictions will be the cluster assignments The cluster assignments tell us which segment each customer belongs to and in case of a new customer, the potential segment. The Table6 shows the assignments of the models, how the assignments of the protocols differ. The assignments of the normal k means are taken as baseline to which the assignments of our privacy preserving k means are being compared at.... In PAGE 61: ... The assignments of the normal k means are taken as baseline to which the assignments of our privacy preserving k means are being compared at. The results in the Table6 shows that the miss assignments grow as the number of... ..."

### Table 7. Comparison of maximum allowed peak current density

1999

Cited by 30

### Table 1. Privacy implications of policy stor- age and evaluation

"... In PAGE 3: ... We can differentiate these ways with respect to where the policy is stored and where the PDPs are located. Either can be done in a centralized or distributed manner, which boils down to four possible com- binations of policy processing; the privacy implications of these design choices are shown in Table1 . To reach a de- sired level of privacy, a security infrastructure should pro- vide the corresponding functionality.... ..."

### Table 7. Peak work energy densities of MFC devices.

2004

Cited by 1

### Table 1. The space density of clusters Sample

"... In PAGE 3: ... We have estimated the mean space density of clusters in this sample, using Equation 3 of Efstathiou et al. (1992) and the results are given in Table1 . We have also applied suc- cessively higher richness bounds to create subsamples with lower space densities, the estimated space densities as listed in Table 1.... In PAGE 3: ... (1992) and the results are given in Table 1. We have also applied suc- cessively higher richness bounds to create subsamples with lower space densities, the estimated space densities as listed in Table1 . We also list the space density of sample B and a subsample with R 70.... In PAGE 3: ... We also list the space density of sample B and a subsample with R 70. 3 CLUSTER CORRELATIONS We estimate the redshift-space correlation functions for the samples in Table1 by cross-correlating with a random cat- alogue and using the estimator cc(s) = 2f DD DR ? 1; (3) where DD and DR are the number of cluster-cluster pairs and the number of cluster-random pairs respectively in each bin centred on s. The parameter f is the ratio of the number of random points to the number of clusters in the sample.... In PAGE 7: ... If the error bars are taken at face value, then the relation would appear to be ruled out at the 2 level. However, as we have seen from Table1 , the error bars could be underestimates by a factor of 1:1?2:1. Also, the space densities of clusters used to derive dc values are not precise estimates because of the di culties involved in estimating the completeness of richness limited cluster cat- alogues (see Efstathiou et al.... ..."