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These models indicate that there is significant porosity associated with the agglomeration of particles.
The most parsimonious configurations of these models indicate that, depending on their scale, both spatial PCA and MaxEnt statistics can be used to select non-redundant input variables.
These models indicate that prior to draining of the natural wetlands for irrigated agriculture the region cycled between wetting and flushing, and partial drying conditions in response to seasonal and climatic cycles causing the build-up of hypersulfidic material to be kept in check by oxidation of pyrite during dry periods/droughts and removal during scouring floods.
The R-squared of these models indicate that 30to48%8 % of the variation in the dependent variables can be explained.
These models indicate that the tsunami heights on the Sanriku coast are larger from slip on the deeper subfaults (3.5 7 km depth) than that on the shallowest subfaults (0 3.5 km depth).
Snow depth and density retrieval results from these models indicate that terrain slopes may be an important factor in the physical model for retrieving snow depth, snow density, and SWE.
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Our findings add to these models, indicating that two novel sources of information also contribute to deciding on a common cause.
Results from these models indicated that the four wheat accessions had very weak allelopathic potential.
These models indicated that conservation management strategies aimed at ensuring the presence of adult females while concomitantly ameliorating survival at early life stages (population augmentation, translocations, introduction of artificial nest structures) are needed to stabilise the Indiana population of eastern hellbenders.
A quantitative comparison of these models indicates that using d/D in Model 4 rather than D gr in Model 1 decreased the relative error about 1.1 and 0.8% for ANFIS-DE and ANFIS, respectively.
The Bayes Factor for these models indicated that no single model was superior to any other model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com