The verification on FRS1 and FRS2 proves the fact that, although feature-ranking methods run quickly, they still easily lead to worse results because feature-ranking filter ignores the possible interactions and dependences among the features [ 29].
This helps to minimize necessary user interaction and operator dependence.
Further, the general theory of cantilever resonance is discussed including fluid structure interaction and its dependence on the Reynolds number for Newtonian fluids.
In most cases, early-stage disease has MM cells within the interstitial bone marrow (BM) and active disease is characterized by the establishment of a MM niche in the form of focal growth that frequently converts to osteolytic lesions in later stages, depending on molecular properties of the MM cells and their unique interactions with and dependence on the BM microenvironment.
In previous work, we have demonstrated that tetrahydrobiopterin interaction and metal-dependence of alkylglycerol mono-oxygenase is similar to tetrahydrobiopterin-dependent aromatic amino acid hydroxylases, but different from nitric oxide synthases [ 11].
For cholera, transmission networks are based on (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted).
Probability distributions of mobility network factors (link length and clustering coefficient) are derived from data as in (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted).
The metacommunity model is inspired by the metacommunity concept in (Convertino 2011; Convertino et al. 2009) and (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted) and the mathematics in (Brockmann and Helbing 2013) and more recently in (Convertino and Hedberg 2014a).
As for cholera (data from (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted)) and H5N1 (WHO data), water and birds are also vehicle and vector, respectively, contributing to the spreading of the pathogen.
A detailed description of model structure, assumptions and calibration methodology are given in [ 26] The model's structure makes it capable of reproducing the key transmission dynamics of seasonal influenza, specifically herd immunity, strain interaction, waning immunity and dependence on population contact patterns.
