1998 Fields Medal winner Richard Borcherds succeeded to prove the monstrous moonshine conjectures, a surprising and deep relation of the largest finite simple sporadic group the "monster group"—with certain modular functions, a piece of classical complex analysis, and string theory, a theory supposed to unify the description of many physical phenomena.
Penta D met Hardy-Weinberg expectations, whereas Penta E did not, maybe because of the small sample size in relation to the large number of alleles of this locus.
First, a detailed analysis of pre-stack depth-migrated seismic lines crossing the Central Basin enable us to discuss the space and time relations of the large and smaller nested basins of the inner depression, as well as the diversity of style and rate of activity of motion at the diverse basin border faults.
Because of computational limitations in relation to the large size of generated files, we re-sampled trees and parameters every 10,000 or 15,000 generations [see Additional file 1].
Regarding the lack of consistent predictors of dropout, the small sample sizes in relation to the large number of variables investigated and the tendency to study only the variables identified in previous studies or only new and specific psychological and personality dimensions are the major factors making a quantitative analysis difficult.
The optimization of the molding process parameters in relation to the large range of cup sizes and new advances in molding materials is also a longstanding problem in controlling the efficiency of the process and product quality.
Thus, the precision in our estimates of approximately 2% is very small in relation to the large changes of gene expression observed, which often exceeded several hundred percent.
In a review on dairy cow mortality, Thomsen and Houe [ 1] concluded that the number of published studies is surprisingly low, especially seen in relation to the large impact of dairy cow mortality on animal welfare and the farmer's economy.
Due to limited sample size in relation to the large number of established prognostic markers, the stepwise exclusion of variables was used to achieve a model with as few variables as possible in the multivariate analyses.
By using temporal causal relations from those domains as a main vehicle and structure for network models, the obtained network models get a strong relation to the large body of empirically founded knowledge from the Neurosciences and Social Sciences.
