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Neural modeling techniques, including digital image analysis, were used to classify the pests.
Forty modeling techniques, including ensemble modeling were explored to identify the set of best performing models for different attribute sets.
Using an assortment of modeling techniques, including compartmental and agent-based simulation models, I attempt to determine the mechanisms by which disease is maintained in populations and communities, and explore the conditions that result in large outbreaks.
Among the described approaches are different in silico modeling techniques, including flux balance analysis, elementary flux mode analysis and kinetic flux profiling, as well as different variants of experiments with plant systems which use radioactive and stable isotopes to determine in vivo plant metabolic fluxes.
Using a novel original large-scale longitudinal survey of students linked to school administrative records and a variety of modeling techniques - including sibling, twin and individual fixed effects - the study finds that psychosocial abilities are a strong predictor of youth civic engagement.
These are often used in combination with other modeling techniques, including ultraviolet (UV) radiation, xenotransplantation, or genetic engineering, to decrease the latency of developing melanoma [13]– [15].
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The modeling techniques included kriging, co-kriging, regression kriging, artificial neural networks (NN) and geographically weighted regression (GWR).
In this particular work, we emphasize that, while existing modeling techniques include methods to compute crystal structures and associated properties, it is important to capture intermolecular forces not traditionally included, such as van der Waals (dispersion) correction.
Three computer modelling techniques including molecular dynamics, Monte Carlo method and finite element method are outlined without mathematical details.
Models and data were produced in each project, using different experimental and modelling techniques, including multiple omics investigations (e.g. transcriptomics, proteomics and metabolomics).
For outcome analyses, the study will use state of the art latent growth curve modelling techniques, including all randomized participants according to the intention-to-treat principle.
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