a, TRENDY V2 ensemble (1959 2012), b, TRENDY V4 ensemble used in this study (1959 2014), c, MsTMIP ensemble with models considering nitrogen deposition change (1959 2010), d, MsTMIP ensemble with models not considering nitrogen deposition change (1959 2010).
The NMR-restrained molecular dynamics ensembles considered in this study enable the exchange rates for the highly exposed amides of ubiquitin to be predicted to within a factor of 3 under the assumption of linear Poisson−Boltzmann analysis using CHARMM22 nonpolarizable atomic charge and radius values and an internal dielectric value of 3.
DNA repair pathway biomarkers ensemble based assay proposed in this study seemed to be more accurate compared to these commonly used in vitro assays (assuming in vivo assay produces the most reliable endpoint).
In this study, ensemble learning introduces a nonnegative constraint to correctly estimate temporal and spatial blood information from dynamic cerebral PET images.
In this study, ensemble learning based classification and regression models are constructed and applied to the groundwater hydrochemistry data of Unnao and Ghaziabad regions of northern India.
The ensemble modeling approach used in this study appears as a way to limit the potential influence of one particular modeling method, which was found to provide good results in previous studies [ 38, 67, 68].
The ensemble performances in this chilly study of a Hollywood party celebrating the sixth wedding anniversary of an insecure star (Ms. Leigh) and a British novelist (Mr. Cumming) are of a quality rarely seen in a Hollywood film.
A forecast combination model resulting from a new neural networks-based linear ensemble framework (NNsLEF) is proposed in this study.
The first method used a photographic technique and the second a regression equation as proposed in ISO 9920, based on the insulation values of Arabian Gulf male and female garments and ensembles as they were determined in this study.
Generating such ensembles for the proteins included in this study would be a substantial effort given the high number of protein structures included in this GEM-PRO and the long simulation time scales necessary to model the large conformational changes often important for ligand binding [ 17].
