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Table 3 Examples of tumor cell lines bearing homozygous amino acid sequence altering mutations of candidate 3p21.3 TSGs
"... In PAGE 7: ... The same absence or low frequency of mutations was detected in the 11 genes lying in the more telomeric ;250-kb portion of the 630-kb contig with HYAL1, FUS2, and SEMA3B, each exhibiting a few mutations (Table 1). Many examples of the mutations detected in lung cancer cell lines are given in Table3 . Thus, this extensive mutational analysis (involving 1102 separate tumor sample/gene mutation tests; Table 1) did not pinpoint a strong candidate gene with a high fre- quency of mutation among either of the critical gene sets.... ..."
Table 2: Parameter optimization | automatic evaluation on runs obtained by varying values of three key scoring parameters; performed only on questions 1-100 of the TREC-8 test set.
2000
"... In PAGE 6: ... We do know that setting the phrase weight to 0, thereby disregarding keyphrase occurrences altogether, is a bad idea. These results are summarized in Table2 , which shows performance gures for the rst 100 TREC-8 questions. Scores can be signi cantly lower for other ranges | in particular, for questions 176 through 200 | or even slightly higher, but tend very strongly to bear out the same conclusions regarding parameter settings.... ..."
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Table 1: Critical bearing parameters
"... In PAGE 3: ... The bearing has an 8{pole design, schematically similar to the one shown in Figure 1. Table1 lists the several critical values of the bearing. Two toggle clamps can be positioned at various points along the beam on each side of the bearing.... ..."
Table 1: Asymmetric bearing parameters.
1995
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Table 3. Directness of Reading Absolute Numeric Values Methods Heading Magnetic Bearings Reciprocal Bearings Relative Bearings Distances
1997
"... In PAGE 12: ... The more direct is the reading of numerical values, the more efficient is the display, because a more direct reading re- quires less mental computation. If we use the directness of the reading of numerical values as a measure of representational efficiency (see Table3 ), we can get a rep- resentational efficiency order, from most efficient to least efficient: Modified Map gt; Map = RMI = ADF gt; VOR. Combining the above two factors, we can get the following representational efficiency order: Modified Map gt; Map gt; RMI gt; ADF gt; VOR.... ..."
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Table II. Bipolar head motion at two bearings Diagnosis Inner-Bearing Outer-Bearing
2005
Table 1: Summary of Unbalance Test
2001
"... In PAGE 27: ... 6. Table1 summarizes the test results, with the most relevant data shown in bold: unbalance mass (second column), peak vertical vibration (third column), and peak horizontal vibration (fourth column). Figure 8 shows various linear measures of the motor-pump power as a function of the dataset number in this unbalance test sequence.... ..."
Table 4. Correlation r Between Pairs of Training Groups for the Dependence of Mean Errors (Across Subjects) on Subtasks
1999
"... In PAGE 18: ... Further results concerning the role played by subtask are presented in Tables 4 and 5. Table4 shows the cor- relation coefficients between pairs of training groups for the dependence of mean errors (averaged across subjects in the group) on subtask, for each of the four error types (signed bearing error, absolute bearing error, signed log range error, and absolute log range error). The values of the correlation coefficient r for the singed bearing errors (0.... In PAGE 18: ...ects is only 9.9. This is also true for the absolute bearing error, but to a much smaller extent. As was evident in the above correlation analysis ( Table4 ), it is also clear from this table that subtask plays a smaller role in range estimates than in bearing estimates. A way of describ- ingthe strong dependence of signed bearing error on subtask is outlined briefly in Section 5.... ..."
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Table 4. Correlation r Between Pairs of Training Groups for the Dependence of Mean Errors (Across Subjects) on Subtasks
1999
"... In PAGE 18: ... Further results concerning the role played by subtask are presented in Tables 4 and 5. Table4 shows the cor- relation coefficients between pairs of training groups for the dependence of mean errors (averaged across subjects in the group) on subtask, for each of the four error types (signed bearing error, absolute bearing error, signed log range error, and absolute log range error). The values of the correlation coefficient r for the singed bearing errors (0.... In PAGE 18: ...ects is only 9.9. This is also true for the absolute bearing error, but to a much smaller extent. As was evident in the above correlation analysis ( Table4 ), it is also clear from this table that subtask plays a smaller role in range estimates than in bearing estimates. A way of describ- ingthe strong dependence of signed bearing error on subtask is outlined briefly in Section 5.... ..."
Cited by 5
Table 1: Comparison between magnetic bearing sus-
1993
"... In PAGE 14: ...#29 For vibration isolation application, the Lorentz ac- tuators must be designed to emphasize constant force operation #28cf. Table1 in Section 2#29. This can be done by using relatively narrow magnetic gaps with either l M #1D l c or else l c #1D l M where l M ;l c are the spatial extents of the magnetic #0Celd and coil windings, respec- tively.... ..."
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