"... In PAGE 6: ... Uni- directional and nasal subcomponents of MAN were calculated from the mean difference and mean sum of MAN bias of both eyes. The calculated nasal subcomponent of MAN was significantly greater for amblyopic than normal observers for both corrected and uncorrected ( Table5 ) measures of MAN. of 22 eyes in the amblyopic group and 9 out of 18 eyes in the nonamblyopic group.... In PAGE 6: ... This abnormal nasalward bias of corrected MAN in amblyopic observers suggests that there is reduced afference for temporalward motion to the optokinetic system. We also computed nasal and unidirectional sub- components for measures of MAN that were uncor- rected for dark drift-bias ( Table5 ). The proportion of normal and amblyopic observers that had a calculated nasalward bias for uncorrected MAN was the same as for corrected measures.... ..."

"... In PAGE 12: ...1.1 Predictions Table3 compares the speed ratio of four non-tunneling failure modes at nominal voltage and very low voltage [Chang 96a]. The speed ratio is defined as the speed of a defective-free circuit divided by the speed of a defective circuit.... In PAGE 12: ... In some cases, the defective circuit cannot operate at all (hard failure). Table3 . Speed ratio of non-tunneling failure modes Speed ratio Failure mode NV VLV Transmission gate open 3.... In PAGE 45: ...4 6.5 Fail Table3 lists the SPICE simulated path delay values of these three paths (same parameters are used as last section). Their path delay is measured from their IN terminals to the OUT terminals.... In PAGE 46: ... Wire delay can be also estimated by the product of Rw and Cw, which are both insensitive to VDD. Table3 .... In PAGE 46: ...47ns (100%) 0.00ns (0%) In Table3 , path 1 has fewer inverters and a longer wire. Its wire delay accounts for 30% of the path delay.... In PAGE 68: ... They will be described in detail as follows. Table3 shows the excitation condition for a T1 stuck-open fault. The first input is an initialization pattern that sets up the NAND gate for exciting the fault.... In PAGE 68: ... The second input is a strobe pattern after which the output is observed. Table3 . Excitation condition for SOP fault T1 A B Comment 1 1 Z=0, initialize pattern 0 1 Z=1, strobe pattern For every type of gate, we make an Excitation Condition (EC) table.... ..."

"... In PAGE 6: ... Unfortunately, the size of the filter window changes the inferred value of feedwater flow, thus indicating inconsistency of drift evaluations using an ordinary least squares model. The dependence of the drift estimation, at the 6 month check point, on filtering window length is shown in Table2 . Due to different median filter... In PAGE 14: ...90 11 39.82 This table should be compared with Table2 where drift dependence on filtering window for the unregularized solution is shown. Comparison of these tables shows that regularization decreased the variability of drift estimation.... ..."

"... In PAGE 6: ... Again, the dashed line corresponds to the expected performance of the algorithm established using Monte Carlo simulation. Table1 summarizes the additional motion estimation results obtained from processing the approach and descent sequences obtained using 50 or 500 features and linear or linear+nonlinear motion estimation For the 50 feature descent sequence and the linear motion estimation algorithm, the average translation error is 0.... In PAGE 6: ... The approach sequence takes slightly longer to process because the larger image requires more time to detect features. The results in Table1 , show that in general the addition of the nonlinear motion estimation algorithm does not improve the results of motion estimation all that much. This is because for vertical descent, the motion computed using the linear algorithm is very constrained, so the results are very close to those obtained using the nonlinear algorithm.... In PAGE 7: ...otions (e.g., orbital motion) the nonlinear algorithm will result in improved motion estimation and should be used. Table1 also shows that adding features (50 vs. 500) does not improve motion estimation all that much.... ..."

"... In PAGE 16: ... The stereo angle was 10 degrees and the angle of rotation between successive time instants was 5 degrees. Table1 lists the recovered motion parameters after each step on a sample set of frames. For each step, we also list the angle between the true and estimated rotation axes and the error in the rotation angle.... ..."

"... In PAGE 4: ...2 deg/sec of the velocities measured in the original ses- sion. Table2 compares the VOR bias with the unidirec- tional dark drift-bias derived from equation 1. Also shown are estimates of the nasal dark drift-bias derived from equation 2.... In PAGE 4: ... A rightward VOR imbalance increased as chair velocity increased and as chair oscillation frequency decreased. Imbalance of VOR Comparison of columns 1 and 2 of Table2 reveals that all but one of the 20 subjects (11 amblyopes and 9 normals) whose VOR was measured had a VOR bias in darkness and calculated unidirectional dark drift-bias (estimated from equation 1) in the same di- rection. The magnitude of the VOR imbalance was usually greater than the calculated unidirectional dark drift-bias.... In PAGE 4: ... As a result, their normal eye had a marked nasalward drift-bias, which is usually a char- acteristic of the amblyopic eye.2 Nasal Subcomponent The third column in Table2 illustrates the mag- nitude of the calculated nasal drift bias of the fixating... ..."