The temperature range over which these models are valid is (353.2 to 458.2) K at atmospheric pressure.
To reflect uncertainty in the variation of the influenza background over seasons, these models allow for randomness in the seasonal components.
Without over-interpretation of these models, we feel it is reasonable to propose the nature of the neuroligin-neurexin interaction will be conserved between vertebrate and invertebrates in the case of AmNrxI and AmNLG1.
Development of more complex models will be needed over time, and these models would be better suited to examine the effect of vaccination over a wide range of assumptions regarding vaccine coverage, efficacy, and duration of protection.
These models for dataset II and III and all other models for Douglas-fir, had negative biases; i.e., these models over-predicted the diameter inside bark along the bole.
Comparison of the observed and the predicted rates of alternative treatment for different NPV ratios indicates that there is no systematic over- or underprediction by these models.
Over the years, these models have expanded our understanding of the pathogenesis of many neuropsychiatric disorders and neurodegenerative diseases.
Moreover, over the last decade, these models have dramatically improved the core field description at the core-mantle boundary and brought new insights into core dynamics.
Over the past several decades, these models have been advanced through intensive improvements of schemes representing vegetation, soil moisture, and groundwater processes (Sellers et al. 1997; Lawrence et al. 2011), but most of these sophistications are focused on simulating the natural water cycle, and relatively little progress has been made in modeling human impacts.
8 Whether SRH adds predictive value over and above these models needs to be further analysed in future studies using adequate methods.
