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Table 4. Part 2. What is Being Done to Promote ECOMM to SMEs Countries Q6. Measures to promote ECOMM Q7. Description of successful

in unknown title
by unknown authors
"... In PAGE 4: ...able 3. Part 1 - Q5. Characteristics of SMEs as Impediments to use of ECOMM .............................. 36 Table4 .... In PAGE 38: ...38 Table4 . Part 2.... ..."

Table 4. Part 2. What is Being Done to Promote ECOMM to SMEs (continued) Countries Q6. Measures to promote ECOMM Q7. Description of successful

in unknown title
by unknown authors
"... In PAGE 4: ...able 3. Part 1 - Q5. Characteristics of SMEs as Impediments to use of ECOMM .............................. 36 Table4 .... In PAGE 37: ...37 Table4 . Part 2.... ..."

Table 2.13. Foundation for intelligent physical agents (FIPA) specifications. The FIPA is a non-profit association. Its goal is to promote the success of emerging agent- based applications, services and equipment. This goal is pursued by making available n a timely manner, internationally agreed specifications that maximise interoperability across agent-based applications, services and equipment. http://www.fipa.org. Agent Manage-

in Trade agent project Work Unit 3 report on status quo on agent technology
by Contact Person Rogier, J. L. H Rogier, Th. Veugen, R. Lachman, E. Hemelaar, M. Van Breukelen, J. Hamers

Table 3: Ranking of CRP Binding Sites in E.coli Promoters by the Computed Score

in A Structure-Based Approach for Prediction of Protein Binding Sites in Gene Upstream Regions
by Y. Mandel-gutfreund, A. Baron, H. Margalit 2001
"... In PAGE 8: ... (1998), covering 400 base pairs upstream and 50 base pairs downstream from annotated ORFs. Table3 summarizes the scores for 20 known CRP binding sites in the 15 promoter regions. The predictions are less successful than in the previous example, but still, the scores of more than 50% of the sites studied fall within the five highest ranks.... ..."
Cited by 11

Table 3: Ranking of CRP Binding Sites in E.coli Promoters by the Computed Score

in A structure-based approach for prediction of protein binding sites in gene upstream regions
by Y. Mandel-gutfreund, A. Baron, H. Margalit 2001
"... In PAGE 8: ... (1998), covering 400 base pairs upstream and 50 base pairs downstream from annotated ORFs. Table3 summarizes the scores for 20 known CRP binding sites in the 15 promoter regions. The predictions are less successful than in the previous example, but still, the scores of more than 50% of the sites studied fall within the five highest ranks.... ..."
Cited by 11

Table 1 : Success and Alternative Factor

in Selection of the Success Factors of Mobile Commerce and Evaluation using AHP
by Gi Oug 2006
"... In PAGE 2: ... There are personal satisfaction with individual uses of contents and organizational satisfaction expressing organizations apos; satisfaction with contents [8][6]. Success factors and alternatives listed above are presented in Table1 below. Table 1 : Success and Alternative Factor ... In PAGE 6: ... In this study, we calculated 8 success factors and 35 alternatives. If the alternatives in Table 14 are calculated in Table 5 as in Table1 3, the general priority of success factors are determined. However, if the consistency index among the alternative exceeds 0.... In PAGE 7: ... In addition, transaction and user satisfaction are important factors, and the lateness of contents and privacy were also extracted as important factors. Through the calculation of importance in Table1 4, individualization was found to be the most important alternative in the application function, and contents management and promotion were also found important. Figure 6 shows the result of calculation in Table 14.... ..."

Table 4. Program accuracy

in ERRATUM Human pol II promoter prediction: time series descriptors and machine learning
by Rajeev Gangal, Pankaj Sharma, Rajeev Gangal, Pankaj Sharma 2004
"... In PAGE 5: ... In order to check the prediction accuracy, a sample of 100 sequences was taken from EPD, comprising equal number of randomly chosen promoter and intron sequences. The results shown in Table4 clearly indicate that the prediction accuracy of our software is relatively very high in comparison with other tools. CONCLUSION The successful prediction of promoters with high accuracy using time series descriptors clearly indicates that, the novel method has a promise as an approach, for successful Eukaryotic promoter prediction.... ..."

Table 24. IP promotion

in unknown title
by unknown authors 1999
"... In PAGE 13: ...able 23. Activities by region: universities................................................................................................................. 21 Table24 .... ..."
Cited by 2

Table 4 Promotion Criteria

in SEN
by R. L. Jansen, G. Ballintijn, S. Brinkkemper 2004

Table 4 Promotion Criteria

in unknown title
by unknown authors
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