### Table 11.Determining letter position in a sequence: % correct

2001

"... In PAGE 10: ...impairmentinletterlocation,primarilyinmedial positions,asshownin Table11 .Thedifference betweenmiddleandfirst/lastpositionswassignifi- cantonlyforBS,c2=6.... ..."

Cited by 10

### TABLE 2 A Comparison of Interval-Scale and Ordinal Analyses of Heterogeneity in Types of Interaction

in Unobserved Heterogeneity as an Alternative Explanation for "Reversal" Effects in Behavioral Research

### Table 8. Summary of Analysis of Variance Results at selected points on final approach

"... In PAGE 8: ...able 7. Summary of Analysis of Variance Results for Turn 3 (Base to Final)..........................25 Table8 .... In PAGE 36: ...* denotes p lt; .01, * denotes p lt;.05, n.s. denotes not significant (p gt;.05) Approach and Landing Analyses of flight technical error parameters were conducted at 1000 feet before runway threshold crossing, at 500 before threshold, and at threshold. A summary of ANOVA procedures conducted at these points is presented in Table8 . No significant differences were found for conformality or motion condition for altitude, sink rate (HDOT), or airspeed at any of the selected points.... ..."

### Table 6. Summary of Analysis of Variance Results for Turn 2 (Downwind to Base)

"... In PAGE 8: ...eplications. ...........................................................................................................20 Table6 .... In PAGE 34: ... One specific portion or time of interest was during turns, because turns involved looks from the forward display to the side window display and back, a time during which changes in display conformality might most affect task performance. Summaries of Analysis of Variance (ANOVA) statistical procedures are presented in Table6 for turn 2 (downwind to base turn) and Table 7 for turn 3 (base to final turn). No significant differences were found in any of the task performance measures for either conformality condition or simulator motion or their interaction.... ..."

### Table 2: Intrinsic resolutions of the detector planes intr ( m) S=N Detektor p n p n

1995

### Table 1. 2 2 Contingency table for a) the test-set and b) SWISS-PROT. The axes of each 2 2 matrix are labelled by the sets NPP sequences, Random sequences, H (Hypothesis predictions) and H (complement of H). The cells of each matrix represent the cardinalities of the corresponding intersections of these sets. n1 +n2 +n3 +n4 = n, where n is the number of instances in the test-set. The total of the counts/frequencies in the four cells of the contingency table for SWISS-PROT = S, where S is the total number of sequences in the SWISS-PROT database.

"... In PAGE 3: ... Let C = the cost of test- ing the biological activity of one protein via wet-experiments in the laboratory; NPP = Sequence is a NPP; Rec = Model recognises sequence as a NPP. RA = C=Pr(NPP) C=Pr(NPP j Rec) = Pr(NPP j Rec) Pr(NPP) (1) Let testing the model on test data yield the 2 2 contingency table shown in Table1 a with the cells n1, n2, n3, and n4. Let n = n1 + n2 + n3 + n4 be the number of instances in the test-set.... In PAGE 4: ... Table1 b shows the expected result of using the learned recognition model on the entire SWISS-PROT database. From Equation 3 and Table 1b it follows that: Pr(NPP j Rec) apos; n1 n1+n3 M n1 n1+n3 M + n2 n2+n4 (S ? M) = (Mp1)=(Mp1+(S?M)p2) (4) where p1 = n1=(n1 + n3) and p2 = n2=(n2 + n4).... In PAGE 4: ...Table 1b shows the expected result of using the learned recognition model on the entire SWISS-PROT database. From Equation 3 and Table1 b it follows that: Pr(NPP j Rec) apos; n1 n1+n3 M n1 n1+n3 M + n2 n2+n4 (S ? M) = (Mp1)=(Mp1+(S?M)p2) (4) where p1 = n1=(n1 + n3) and p2 = n2=(n2 + n4). Substituting Equations 2 and 4 into Equation 1 gives RA = (Mp1)=(Mp1 + (S ? M)p2) M=S = Sp1 Sp2 + M(p1 ? p2) (5) 2.... ..."

### Table 1. Laplace equation. p n T(n,1) T(n,p) E(n,p) S(n,p)

"... In PAGE 7: ... Furthermore, depending on the dimension of the q x q mesh of processors, the dimension of the global grid of n x n cells is n = qm. Table1 shows the execution time T(n, p) in seconds on a q x q mesh of p processors, p = q * q. The table also contains the processor efficiency E(n, p) = T(n, 1)/(p*T(n, p)) and the speedup S(n, p) = p * E(n, p).... In PAGE 7: ... The scaled efficiency E(2000, 16) = 0.52 is also shown in Table1 , together with the corresponding scaled speedup of 8.3.... ..."

### Table 1. Laplace equation. p n T(n,1) T(n,p) E(n,p) S(n,p)

"... In PAGE 7: ... Furthermore, depending on the dimension of the q x q mesh of processors, the dimension of the global grid of n x n cells is n = qm. Table1 shows the execution time T(n, p) in seconds on a q x q mesh of p processors, p = q * q. The table also contains the processor efficiency E(n, p) = T(n, 1)/(p*T(n, p)) and the speedup S(n, p) = p * E(n, p).... In PAGE 7: ... The scaled efficiency E(2000, 16) = 0.52 is also shown in Table1 , together with the corresponding scaled speedup of 8.3.... ..."

### Table 1: SOS for the standard processes

"... In PAGE 9: ... The names of , brie y n( ), are bn( ) [ fn( ). Table1 shows the standard transition system of the -calculus.1 We have omitted the symmetric versions of rules S-sum, S-par and S-com.... In PAGE 9: ... We sometimes also use the largest congruence contained in , denoted by c, and de ned as follows: P c Q if and only if, for each name substitution , P Q . 1In the transition system of Table1 the bound names of an input are instantiated as soon as possible, in the input rule; therefore it is an early transition system [San92], as opposed to a late transition system [MPW92, Mil91] in which the instantiation is done later, in the communication rule. The adoption of an early transition system naturally leads to the adoption of an early bisimulation.... ..."