However, the available data from individual studies impose several challenges to derive a sensible summary estimate from an IMPF (Table 2) and we also indentified a number of ways IMPF projects can be improved.
When a model is originally known only in terms of an ABM, it is challenging to derive its counterpart in state equation format.
It is a challenge to derive a distributed solution to latency-minimizing data aggregation under the physical interference model because of the simple fact that global-scale information to compute the cumulative interference is needed at any node.
The complex and non-random architecture of the genome makes it a challenge to derive an appropriate testing framework for such methodologies.
In many respects, this is the most daunting challenge, to derive the information to interpret the significance of specific SNPs and haplotypes from population-based studies, yet apply the information to the individual.
To date, however, much of the data on SSC culture has been obtained using neonatal testis as the donor tissue as opposed to that of adults, likely because adult SSC lines have been challenging to derive.
While the development process was successful in developing a limited set of QIs, it remains challenging to derive robust new QIs from clinical guidelines in the absence of established systems for routine, structured recording of clinical care.
While 3-dimensional domain swap mechanism can be detected from three-dimensional structures, it remains a formidable challenge to derive common sequence or structural patterns from proteins involved in swapping.
For the unconstrained scenario of, the optimization lasts up to one half second for one grid point on an Intel(R Core(TM i5 CPU M540 processor with 2.53GHz and it is therefore still a time consuming numerical challenge to derive a sufficiently narrow grid over the three dimensional interim subspaces with sufficiently accurate values of the maximum conditional error functions to be integrated.
It has been previously suggested that it is challenging to derive high confidence identifications of human serum/plasma proteins [ 4] and that most proteomic identifications are false positive results using the "empirical model" based on putatively pure protein standards verses a decoy library [ 24].
