### Table 2. Tabulation of simple alternative splicing events and number of genes where they occurred in the ASG consisting of 22127 Ensembl genes

2004

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### Table 1: Tabulation of Simple Alternative Splicing Events Found in 22,127 Ensembl Genes

### Table 6. INDICATOR OF DIFFERENCES IN SIMPLE CORRELATION COEFFICIENTS FOR SPECIFIC VARIABLES FOR ALTERNATIVE DELINEATIONS USING THE BERA DELINEATION AS A BASE

"... In PAGE 12: ... descriptive properties of specific variables, such as the the BERA coefficients. Table6 shows the number of mean, variance, and skewness, are sensitive. This correlation coefficients for each specific variable that section examines whether relationships among were outside the confidence interval for the variables, such as simple correlations and single comparable BERA coefficients.... In PAGE 12: ... Correlations. Indicators of differences in simple An indicator of the degree of closeness of the correlation coefficients for the 12 specific variables correlation coefficients for the eight alternative using the BERA delineation as a base are shown in delineations to BERA was constructed by summing Table6 . For each delineation, each variable was the number of coefficients for each delineation that correlated with 11 other variables.... ..."

### Table V compares the measured performance of fMRI runs on four candidate assignments A1 A4 shown in Table IV. It shows the predicted and measured completion times for the candidate (A1) preferred by an induced model, and compares them to the candidates chosen by two simple alternative strategies: (i) select the assignment with the fastest CPU clock; and (ii) select the assignment with the lowest latency to network storage. Since the delivered performance depends on the combination of CPU and I/O resources, the naive approaches cannot identify the best candidate. The model captures the relative importance of the different factors alone and in combination for each application, so it can guide the choice of the best candidate.

### Table 1: Time and memory consumption for the proof of the Alternating Bit Protocol

"... In PAGE 12: ... The rst veri cation was of the Alternating Bit Protocol, a simple stop-and-go protocol for correcting data corruptions. In Table1 proofs with di erent numbers of message-types... ..."

### Table 1. Superiority of processing chains (conventional or alternative).

"... In PAGE 3: ... Table 1 summarizes these predictions. Qualitative predictions in Table1 agree very well with the experimental results shown in Figure 3. In this figure we compare the signal-to-noise ratio (SNR) performance of the conventional and alternative processing chains, where the lat- ter used simple grayscale compression for CFA images.... ..."

### Table 4: Comparison of alternatives for 64-bit permutations

2003

"... In PAGE 9: ... 5. Comparison Table4 compares the six alternative implementations of the BFLY and IBFLY permutation instructions. The last column shows the prior methods, GRP, OMFLIP, or CROSS permutation instructions, which all need log(n) instructions and cycles.... In PAGE 9: ... The last column shows the prior methods, GRP, OMFLIP, or CROSS permutation instructions, which all need log(n) instructions and cycles. The first two rows of Table4 show that all the six new architectural alternatives for BFLY/IBFLY can do an arbitrary n-bit permutation in less than log(n) instructions, taking at most two cycles. This 2-cycle latency is achieved with simple single-issue processors.... ..."

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### Table 7-1. Summary of Screening Alternatives.

1996

"... In PAGE 48: ...1.1 Screening Method Alternatives Table7 -1 identifies all of the screening technologies that were considered to resolve each decision statement and the optional methods of implementing each technology. The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation.... In PAGE 48: ... Table7 -2 identifies the various types of media that need to be sampled to resolve each decision statement and alternative methods for collecting these samples. The table presents alternative... In PAGE 49: ... An estimated cost for the implementation of each sampling design has also been provided for comparison purposes. Table7 -2. Summary of Sampling Method Alternatives.... In PAGE 49: ...1.3 Implementation Design Table7 -3 presents the selected screening technology(s) and sampling method(s) for resolving each decision statement and a summary of the proposed implementation design. The table also provides the rationale for selected methods and design.... In PAGE 49: ... The table also provides the rationale for selected methods and design. Table7 -3. Selected Judgmental Design.... In PAGE 50: ...2.1 Data Collection Design Alternatives Table7 -4 identifies the statistical design alternatives (e.g.... In PAGE 50: ...able 7-4 identifies the statistical design alternatives (e.g., simple random, stratified random, and systematic) that were evaluated for each decision statement, as well as the selected design and the rationale for the selection. Table7 -4. Selected Statistical Design.... In PAGE 50: ...2.2 Mathematical Expressions for Solving Design Problems Table7 -5 identifies the statistical hypothesis test (e.g.... In PAGE 51: ...Rev. 0 7-4 Table7 -5. Statistical Methods for Testing the Null Hypothesis.... In PAGE 52: ...2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table7 -6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table 7-4.... In PAGE 52: ....2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table 7-6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table7 -4. As would be expected, the higher the error tolerances and wider the gray region, the smaller the number of samples that are required.... In PAGE 52: ...7 [EPA 1989]). As shown in Table7 -4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table 7-6.... In PAGE 52: ...-Test (formula 6.7 [EPA 1989]). As shown in Table 7-4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table7 -6. Sample Size Based on Varying Error Tolerances and LBGR.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table7 -7 presents the total cost for sampling and analyzing the number of samples identified in Table 7-6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table 7-7 presents the total cost for sampling and analyzing the number of samples identified in Table7 -6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ... Consult the appendices in the Remedial Design Report/Remedial Action Workplan for the 100 Area (DOE-RL 1998b) for the results of the trade-off analysis. Table7 -7. Sampling Cost Based on Varying Error Tolerances and LBGR.... In PAGE 53: ... It is important to consider trade-offs so contingency plans can be developed and the added value of selecting one set of considerations over another can be quantified. Table7 -8 identifies the sampling design that provides a balance between the known operational limitations and the ability to meet the DQOs. Once the sample design has been defined, the project may conduct a trade-off analysis to determine if the reused potential... In PAGE 54: ...Rev. 0 7-7 Table7 -8. Most Resource-Effective Data Collection Design.... In PAGE 54: ... If required, one or more outputs to DQO Steps 1 through 6 were modified to tailor the design to most efficiently meet all of the DQO constraints. For each decision statement, Table7 -9 presents a summary of the final statistical sampling design, the total number of samples to be collected. Sampling will be performed as described in Table 7-8.... In PAGE 54: ... Sampling will be performed as described in Table 7-8. Table7 -9. Final Sampling Design.... In PAGE 55: ...Rev. 0 7-8 Table7 -9. Final Sampling Design.... ..."

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### Table 1 Hierarchy of simple processes

1997

"... In PAGE 13: ..... 3 7 7 7 5 The roles attached to the process are determined by its type, according to the rules of the transitivity system of the grammar, which are summarized in Table1 and Table 2 in Appendix. From the perspective of the generator building the input, the transitivity system de nes classes of verbs according to their meaning and syntactic behavior (which often coincide, as is hypothesized in (Levin, 1993) for example).... In PAGE 14: ...5 The two scenarios are supported by surge: we view a process type as an abbreviation of the speci cation of a lexical entry for the main verb. A program preparing an input for surge can either nd a process type corresponding to the semantic relation to be expressed in Table1 or Table 2 in Appendix, or alternatively choose a lexical entry in a lexicon with all its subcat information speci ed. In this case, the process type is entered as \lexical quot; and the process must provide a subcat feature.... ..."

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### Table 3 Performance of simple ren-

1997

"... In PAGE 13: ... The experi- mental result is shown in Table 3. a117a189a124a109a155a50a141 a100a112a119a52a156a45a93 a44 a141a10a155a77a125a143a141a11a141 a117a189a124a143a155a48a141 a100a78a119a77a156a45a93 a46 a141a11a155a77a125a143a141a11a141a40a190a40a190a40a190a40a141a10a141 a117a189a124a109a155a48a141 a100a112a119a52a156a45a93 a179 a141a10a155a77a125 where a117a191a103a11a104a192a110 a44 a114a146a117a189a90 a101a11a110 a46 a114a146a117a189a90 a101a50a190a40a190a40a190a43a90 a101a11a110a187a193a102a114a146a117 According to Table3 , the performance depends on both the numbers of processes and alternative events (a8 and a86 ). The latter is due to the cost of selecting a rendezvous of several exclusive ones.... ..."

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