"... 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... ..."

"... In PAGE 6: ... No registers are required to store state, thus, strictly speaking, this is a Genetic Algorithm as opposed to a (linear) Genetic Program. Search operators are used independently (children result from any combi- nation of the three operators) and have three forms: crossover, instruction mu- tation, and instruction swap, Table3 . Crossover takes the form of single point crossover, with the same crossover point utilized in both individuals.... In PAGE 8: ...both crossover and swap operators appear, Table3 . Figure 1 details the corre- sponding percent anomaly rate over 10 runs for Stide configured under scenario 1 (a single use trace) and scenario 2 (five use traces) respectively.... ..."

"... In PAGE 93: ... A visual description was chosen in order to enhance the understanding of the model, and to ease the calibration of the model, which continuously was performed with assistance from programmers and testers. The development of the model extended from the template model, with few affecting factors, to a more detailed and project specific model Table4 . The in-parameters in the template model.... In PAGE 126: ... The black box plots show UBR, while the grey show UBT. Table4 . P-values for the null hypotheses of efficiency and effectiveness.... In PAGE 127: ...5. For group 1, there was no statistical significance regarding differences between applying UBR or applying UBT, see p-values in Table4 . For group 2, however, statistical significance was obtained, in favour for hypotheses Ha Eff and HaRate, i.... ..."

"... In PAGE 7: ... The last benchmark variables 31 and 32 are derived from Tiwana (2001) who suggested the existence of both stages of knowledge growth and stages of knowledge characteris- tics. Benchmark variables in Table1 indicate theoretical char- acteristics that commonly occur together. Sabherwal and Chan (2001) label this configuration, where a configura- tion is defined as any multidimensional constellation of conceptually distinct characteristics that commonly occur together.... In PAGE 8: ... The seventh bench- mark variable is concerned with the dominating statement about knowledge management technology among lawyers. For this variable, three expert judges rated apos;make deci- sions apos; as more advanced than apos;produce documentation apos;, leading to changes in the scale for this benchmark variable as listed in Table1 and in Appendix C. The expert judge procedure was then applied for the whole set of benchmark variables in two iterations.... ..."

"... In PAGE 14: ...described in Section 2. Results are shown in Table3 . For each best performing system shown in Table 2, there is an accelerated version in Table 3.... In PAGE 14: ... Results are shown in Table 3. For each best performing system shown in Table 2, there is an accelerated version in Table3 . The acceleration parameters are chosen in such a way that the word error rate goes up by 0.... In PAGE 14: ... The XW-light system, however, is only 20 % slower than the WW system. As can be seen in Table3 , VTN allows for more efficient pruning. Thus, the combined WW + VTN system is fastest and was chosen for integration into the VERBMOBIL prototype system.... ..."

"... In PAGE 10: ... To ascertain whether di erences in expression level could explain the di erence in correlation between length and dN for short and long proteins, we also calculated the correlation between expression and length for short and long proteins separately. For all ORFs with evolutionary rate data, this correlation was almost identical for short and long proteins ( Table3 ). For the 194 ORFs with structural information, neither length nor contact density correlated signi cantly with expression level when we considered short and long proteins separately (not shown).... ..."