"... In PAGE 4: ... In every considered tissue, a relatively small number of highly expressed genes appeared to account for a very large fraction of the total transcriptional activity, as shown in Fig. 1 and reported in Table1 (columns 5 and 6). In general, slightly more than 10% of the total number of expressed genes accounts for one-half of the total transcriptional activity of any given tissue.... ..."

"... In PAGE 4: ... In addition, the size of the robot (which is not limited to the range fixed by human biology) may have to be taken into account when considering the proxemics that a human might be likely to find nat- ural or comfortable. See Table1 for a comparison of several proxemic factors in the case of adult humans and QRIO, and Figure 3 for the general proxemic zones that were selected for QRIO. There has been little exploration of the use of prox- emics in human-robot interaction to date.... ..."

"... In PAGE 4: ... In addition, the size of the robot (which is not limited to the range fixed by human biology) may have to be taken into account when considering the proxemics that a human might be likely to find nat- ural or comfortable. See Table1 for a comparison of several proxemic factors in the case of adult humans and QRIO, and Figure 3 for the general proxemic zones that were selected for QRIO. There has been little exploration of the use of prox- emics in human-robot interaction to date.... ..."

"... In PAGE 3: ... Table1 c An adult speaker interacting with Pixie Finally, a subjective measurement of perceived speaking loudness was individually assigned to each utterance. Here, we used the labels low, normal, high, very high and scream.... In PAGE 3: ... When Pixie had failed to interpret their original utterance correctly, adults would attempt to rephrase it or simply move on to the next query. The latter strategy is exemplified in Table1 c above. Figure 2 Percentage of all utterances in each category labeled as normal, repeat and rephrase A closer examination of the utterances labeled as rephrase reveal interesting differences between adults and children within this group.... In PAGE 3: ... That is, they seldom or never modify the phrase structure or lexical content of the utterance. Table1 a is an example of this type of repetitive sequence, where a child goes back and forth in her efforts to convey her message to the system. When adults rephrase a previous utterance, however, different patterns can be seen.... ..."

"... In PAGE 3: ... If a model performs worse than baseline, its normalized score will be negative. See Table1 for an example of normalized scores. The disadvantage of normalized scores is that recovering the raw performances requires knowing the performances that define the top and bottom of the scale, and as new best models are found the top of the scale changes.... ..."

"... In PAGE 3: ... tions that can be reliably calculated by locating appropriate facial fiducial points on facial models normally acquired us- ing 3D devices. From among these 70 facial proportions, we selected a third (23) of the most variable anthropometric facial propor- tions (with the highest standard deviation values presented in Table1 ) as being representative of discriminatory facial structural characteristics. We reasoned that characteristics that display wide variation between individuals are likely to be most useful for distinguishing them.... In PAGE 3: ... This information forms the basis of our proposed 3D face recognition algo- rithms. We manually located 25 anthropometric facial fiducial points (Figure 1(a)) associated with these 23 most variable anthropometric proportions ( Table1 ) on the color image of each the 1128 facial models in our data set. Since we em- ployed a stereo imaging system to acquire facial data, pairs of facial color and range images of each subject were per- fectly aligned.... In PAGE 6: ... Farkas also identified cranio-facial proportions with sig- nificantly different mean values for the two sexes [7] and for different ethnic groups of humans [8]. Interestingly, 17 (O10, O12, N1, N6, N7, N8, N15, N16, N30, N31, N33, L1, L4, L5, L6, L7, and L14) out of the 23 facial proportions that we selected ( Table1 ) were also reported to be significantly different for the two sexes by Farkas [7], and one (N7) was reported to be significantly different for various ethnic groups of humans [8]. It is very likely that these factors also contribute to the success of our proposed 3D face recognition algorithms based on anthropometric fa- cial distances.... ..."

"... In PAGE 4: ....111, and (0.03810.012)/(0.03810.015), respectively. Table2 displays the poststratification weights for the CBS and NES surveys, with the weights renormalized to equal 1 for respondents in households with one adult. By comparison, the table also gives the theoretical weights that would be obtained under a large simple random sample of households.... ..."