The show, which fills MoMA's entire sixth floor with some 200 paintings, drawings and sculptures, is exhaustively comprehensive, exhaustingly large and predictably awe inspiring.
If adequately summarised and exhaustively available over large areas, this information might be useful in situations where reliable, quantitative soil information is needed, such as agricultural, environmental and ecological modelling, or for digital soil mapping.
The limitations of CSD as a pathogenetic model for human neurological illnesses, particularly migraine, have been discussed almost exhaustively; additionally, a large and growing body of evidence indicates that CSD is biologically adaptive or neuroprotective [4].
However, as it is not feasible to exhaustively track the large numbers of ecological interactions, the question arises: can biotic interaction networks be constructed other than by direct observation, using other available data?
In summary, our method offers a powerful tool for researchers to exhaustively examine the large numbers of gene interactions associated with complex human diseases, and can be a useful complement to classical gene set analyses which only considers single genes in a gene set.
In this work, we mainly compare SST with DSSP (Kabsch and Sander, 1983) and STRIDE (Frishman and Argos, 1995) exhaustively on the large structural dataset described earlier.
This criterion is denoted S. The best ROI is estimated by exhaustively searching the largest value of S(ω m,τ n ) among all regions: S ω ∗, τ ∗ = max S ω m, τ n ∣ m ∈ 1, 2, …, M, n ∈ 1, 2, …, N (1).
Until last month, when Casey Mann, Jennifer McLoud and David Von Derau of the University of Washington Bothell announced last week that they had discovered this little beauty: "We discovered the tile using using a computer to exhaustively search through a large but finite set of possibilities," said Casey.
For most models of networks of biological interest the state and parameter spaces are too large to exhaustively test all combinations of parameter values.
This is not surprising since the hill climbing method is highly dependent on the initial solution (in this case, a spanning tree chosen randomly based on the connectivity matrix) and the search space is simply too large to exhaustively search for the a good initial solution.
