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Table 1. Different Combinations of Challenge

in Distribution of online hardcore player behavior (how hardcore are you
by Tobias Fritsch, Freie Universität Berlin 2006
Cited by 1

Table 1. Different concepts and challenges in information and process integration.

in Information integration or process integration? How to achieve interoperability
by Ralf Klischewski 2004
Cited by 8

Table 2. Different concepts and challenges in information and process integration.

in Information integration or process integration? How to achieve interoperability
by Ralf Klischewski 2004
Cited by 8

Table 11: Challenges in concurrent engineering

in unknown title
by unknown authors
"... In PAGE 10: ...able 10. Experienced problems with SigSys........................................................................ 37 Table11 .... In PAGE 72: ... In addition to several services provided by standard groupware, a system for collaborative engineering communities requires functions for dealing with many different challenges of concurrent engineering in VOs. Table11 gives an overview of the challenges identified by (Gronau, 2004). Figure 24: Categorization of collaborative engineering communities Collaborative Engineering Communities Indentity of participant Intensity of interaction anonymous nickname known authenticated information communication coordination co-operation collaboration Homepages Intranets Newsgroups Groupware Portals... ..."

Table 1. How the different visualization approaches meet the challenges set out in section 2. Histograms Uniform Manual Hypergrids PCA

in unknown title
by unknown authors
"... In PAGE 5: ... Conclusion We have introduced a number of methods to visualize transition systems by considering them as n-dimensional graphs. Table1 summarizes how these techniques assist us in answering the questions identified in section 2. Although simple, parallel histograms prove to be a use- ful aid for addressing many of our questions.... ..."

Table 3. Summary of Challenges and Solutions

in Challenges in case-based reasoning for context awareness in ambient intelligent systems
by Anders Kofod-petersen 2006
"... In PAGE 10: ... If we compare the suggestions for dealing with the challenges across the two domains, we can see that even though each domain has its own idiosyncrasies, the approaches suggested are similar. Table3 described the suggestions in each of the domains, where the tourist domain is the first. The area where the domains differ the most is in acquiring the initial cases.... ..."
Cited by 1

TABLE 2. Rank correlations between pre- and postchallenge immune predictor variables and VLs for the 10 vaccinated Mamu-A*01(H11001) macaquesa

in Attenuation of Simian Immunodeficiency Virus SIVmac239 Infection by Prophylactic Immunization with DNA and Recombinant Adenoviral Vaccine Vectors Expressing Gag
by Danilo R. Casimiro, Fubao Wang, William A. Schleif, Xiaoping Liang, Zhi-qiang Zhang, Timothy W. Tobery, Mary-ellen Davies, Adrian B. Mcdermott, David H. O’connor, Arthur Fridman, Ansu Bagchi, Lynda G. Tussey, Andrew J. Bett, Adam C. Finnefrock, Gwendolyn J. Heidecker, Daniel C. Freed, Anthony Carella, Kara S. Punt, Kara J. Sykes, Lingyi Huang, Virginia I. Ausensi, Margaret Bachinsky, Usha Sadasivan-nair, David I. Watkins, Emilio A. Emini, John W. Shiver 2005

Table 2. Challenges and Solutions for the Health Care Domain

in Challenges in case-based reasoning for context awareness in ambient intelligent systems
by Anders Kofod-petersen 2006
"... In PAGE 9: ... Finally, the user might behave in a totally different way than predicted, thus the system must reclassify the existing case. Table2 give a summary of the suggested approaches to the four challenges when applying case-based reasoning in a hospital ward. Regarding when to exe-... ..."
Cited by 1

Table 3: The turn-around time of each job in a workload with different launching intervals on an SGI Power Challenge. SGI stands for SGI MPI. All times are in seconds.

in Adaptive Two-level Thread Management for Fast MPI Execution on Shared Memory Machines
by Kai Shen , Hong Tang, Tao Yang 1999
"... In PAGE 10: ... For each MPI implementation, we launch these six jobs consecutively with a fixed arrival interval. Table3 lists the turn-around time of each job when the launching interval is 20, 14, 12 and 10 seconds respectively. The last row in Table 3 shows the normalized turn-around time for each job, which is cal- culated by dividing the absolute time by the time of using TMPI-2.... In PAGE 10: ... Table 3 lists the turn-around time of each job when the launching interval is 20, 14, 12 and 10 seconds respectively. The last row in Table3 shows the normalized turn-around time for each job, which is cal- culated by dividing the absolute time by the time of using TMPI-2. The result shows that TMPI-2 is up to 30% faster than TMPI and up to 161% faster than SGI MPI with different launch intervals.... ..."
Cited by 4

Table 3: The turn-around time of each job in a workload with different launching intervals on an SGI Power Challenge. SGI stands for SGI MPI. All times are in seconds.

in Adaptive Two-level Thread Management for Fast MPI Execution on Shared Memory Machines
by Kai Shen, Hong Tang, Tao Yang 1999
"... In PAGE 10: ... For each MPI implementation, we launch these six jobs consecutively with a fixed arrival interval. Table3 lists the turn-around time of each job when the launching interval is 20, 14, 12 and 10 seconds respectively. The last row in Table 3 shows the normalized turn-around time for each job, which is cal- culated by dividing the absolute time by the time of using TMPI-2.... In PAGE 10: ... Table 3 lists the turn-around time of each job when the launching interval is 20, 14, 12 and 10 seconds respectively. The last row in Table3 shows the normalized turn-around time for each job, which is cal- culated by dividing the absolute time by the time of using TMPI-2. The result shows that TMPI-2 is up to 30% faster than TMPI and up to 161% faster than SGI MPI with different launch intervals.... ..."
Cited by 4
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